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Simplified and Improved Separations Between Regular and General Resolution by Lifting Marc Vinyals Technion Haifa, Israel joint work with Jan Elffers, Jan Johannsen, and Jakob Nordstrm Background Marc Vinyals (Technion) Separations Between


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SLIDE 1

Simplified and Improved Separations Between Regular and General Resolution by Lifting

Marc Vinyals

Technion Haifa, Israel

joint work with Jan Elffers, Jan Johannsen, and Jakob Nordström

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SLIDE 2

Background

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SLIDE 3

Regular Resolution

’37 Resolution.

[Blake]

Res

C ∨ x D ∨ x C ∨ D

Contradiction Axioms (CNF clauses)

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SLIDE 4

Regular Resolution

’37 Resolution.

[Blake]

’62 Tree-like resolution.

[DPLL]

Res Tree Res

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SLIDE 5

Regular Resolution

’37 Resolution.

[Blake]

’62 Tree-like resolution.

[DPLL]

’68 Regular resolution: do not resolve a variable twice on same path.

[Tseitin]

◮ Tree-like resolution is regular wlog.

Q Is regular resolution as powerful as general resolution? Res Tree Res Reg Res No resolving over x

C ∨ x D ∨ x C ∨ D

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 2 / 17

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SLIDE 6

Regular Resolution

’37 Resolution.

[Blake]

’62 Tree-like resolution.

[DPLL]

’68 Regular resolution: do not resolve a variable twice on same path.

[Tseitin]

◮ Tree-like resolution is regular wlog.

Q Is regular resolution as powerful as general resolution?

◮ Formulas need exponentially long regular proofs.

[Tseitin,Galil]

◮ If regular ≡ general, resolution needs exponentially long proofs.

Res Tree Res Reg Res

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SLIDE 7

Regular Resolution

’37 Resolution.

[Blake]

’62 Tree-like resolution.

[DPLL]

’68 Regular resolution: do not resolve a variable twice on same path.

[Tseitin]

◮ Tree-like resolution is regular wlog.

Q Is regular resolution as powerful as general resolution?

◮ Formulas need exponentially long regular proofs.

[Tseitin,Galil]

◮ If regular ≡ general, resolution needs exponentially long proofs.

’87 Separation regular vs general (by a constant).

[Huang, Yu]

’93 Separation regular vs general (superpolynomial).

[Goerdt]

’02 Separation regular vs general (exponential).

[AJPU]

’11 Best separation to date: exp(L/log7 LloglogL).

[Urquhart]

Res Tree Res Reg Res

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 2 / 17

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SLIDE 8

CDCL and Restarts

’96 CDCL: DPLL + Learning

[MS; MMZZM]

◮ Also: VSIDS, Restarts.

Res Tree Res Reg Res CDCL DPLL

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 3 / 17

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SLIDE 9

CDCL and Restarts

’96 CDCL: DPLL + Learning

[MS; MMZZM]

◮ Also: VSIDS, Restarts.

’09 CDCL as powerful as resolution.

[PD; AFT]

◮ Crucially uses restarts. ◮ Restarts also seem very important in practice.

Q Are restarts really needed? Res Tree Res Reg Res CDCL No restarts DPLL

≡ ≡

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 3 / 17

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SLIDE 10

CDCL and Restarts

’96 CDCL: DPLL + Learning

[MS; MMZZM]

◮ Also: VSIDS, Restarts.

’09 CDCL as powerful as resolution.

[PD; AFT]

◮ Crucially uses restarts. ◮ Restarts also seem very important in practice.

Q Are restarts really needed? ’05 Pool resolution ≃ CDCL w/o restarts.

[van Gelder]

◮ Pool res ≥ Regular res ⇒ Formulas that separate general and

regular are good candidates to separate general and pool. Res Tree Res Reg Res Pool Res CDCL No restarts DPLL

≡ ≡ ≃

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 3 / 17

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SLIDE 11

CDCL and Restarts

’96 CDCL: DPLL + Learning

[MS; MMZZM]

◮ Also: VSIDS, Restarts.

’09 CDCL as powerful as resolution.

[PD; AFT]

◮ Crucially uses restarts. ◮ Restarts also seem very important in practice.

Q Are restarts really needed? ’05 Pool resolution ≃ CDCL w/o restarts.

[van Gelder]

◮ Pool res ≥ Regular res ⇒ Formulas that separate general and

regular are good candidates to separate general and pool. ’14 All such formulas easy for pool resolution.

[BBJ; BK]

◮ Also: formulas not good to run experiments with. ◮ Need new formulas!

Res Tree Res Reg Res Pool Res CDCL No restarts DPLL

≡ ≡ ≃

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 3 / 17

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SLIDE 12

Proving Resolution Lower Bounds

Size–Width Relation Resolution F requires width W ⇒ F requires length exp(W2/n) Tree-like resolution F requires width W ⇒ F requires length exp(W) Regular resolution ??

Largest clause in proof

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 4 / 17

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SLIDE 13

Proving Resolution Lower Bounds

Size–Width Relation Resolution F requires width W ⇒ F requires length exp(W2/n) Tree-like resolution F requires width W ⇒ F requires length exp(W) Regular resolution ?? Lifting Resolution F requires width W ⇒ T(F) requires length exp(W) Tree-like resolution F requires depth D ⇒ T(F) requires length exp(D) Regular resolution ??

Largest clause in proof Longest path in proof DAG

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 4 / 17

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SLIDE 14

Results

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 5 / 17

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SLIDE 15

Main Result (Informal)

Theorem F requires large depth ⇒ T(F) requires long regular proofs.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 6 / 17

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SLIDE 16

Main Result (Informal)

Theorem F requires large depth ⇒ T(F) requires long regular proofs. ◮ Simplifies separation between regular and general resolution.

◮ If F has narrow proofs, then T(F) still has short proofs. ◮ Obtain separation from F with small width and large depth, e.g. pebbling formulas.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 6 / 17

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SLIDE 17

Main Result (Informal)

Theorem F requires large depth ⇒ T(F) requires long regular proofs. ◮ Simplifies separation between regular and general resolution.

◮ If F has narrow proofs, then T(F) still has short proofs. ◮ Obtain separation from F with small width and large depth, e.g. pebbling formulas.

◮ New family of “sparse stone formulas”. ◮ Improved separation: exp(L/log3 Lloglog5 L). ◮ Can use in experiments.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 6 / 17

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SLIDE 18

Lifting

Usual Lifting

◮ Replace each original variable xi with a gadget gi(y1

i ,...,yk i ).

◮ e.g. x1 ∨ ¬x2 → (y1

1 ⊕ y2 1) ∨ ¬(y1 2 ⊕ y2 2).

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 7 / 17

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SLIDE 19

Lifting

Usual Lifting

◮ Replace each original variable xi with a gadget gi(y1

i ,...,yk i ).

◮ e.g. x1 ∨ ¬x2 → (y1

1 ⊕ y2 1) ∨ ¬(y1 2 ⊕ y2 2).

Lifting with Reusing

◮ Share variables among gadgets.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 7 / 17

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SLIDE 20

Lifting

Lifting with Indexing

◮ Gadget gi(s1

i ,...,sm i ;r1 i ,...,rm i ): if sj i = 1, then gi(···) = rj i.

(Assume exactly one si variable is 1) Selector variables Main variables

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 8 / 17

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SLIDE 21

Lifting

Lifting with Indexing

◮ Gadget gi(s1

i ,...,sm i ;r1 i ,...,rm i ): if sj i = 1, then gi(···) = rj i.

(Assume exactly one si variable is 1) Selector variables Main variables

Lifting with Indexing and Reusing

◮ Share all main variables among all gadgets.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 8 / 17

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SLIDE 22

Lifting

Lifting with Indexing

◮ Gadget gi(s1

i ,...,sm i ;r1 i ,...,rm i ): if sj i = 1, then gi(···) = rj i.

(Assume exactly one si variable is 1) Selector variables Main variables

Lifting with Indexing and Reusing

◮ Share all main variables among all gadgets.

Lifting with Sparse Indexing and Reusing

◮ Fix a bipartite graph G([n] ∪ [m],E); variable sj

i exists iff (i,j) ∈ E.

◮ G is n disjoint stars ⇒ usual lifting. ◮ F is pebbling formula and G is complete graph Kn,m ⇒ stone formula. ◮ F is pebbling formula and G is random graph ⇒ sparse stone formula. x7 r2 s2

7

Original variables

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 8 / 17

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SLIDE 23

Main Result

Theorem (Dense)

If F requires depth D, then LK(F) requires regular length ∼ exp(D2/n).

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 9 / 17

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SLIDE 24

Main Result

Theorem (Dense)

If F requires depth D, then LK(F) requires regular length ∼ exp(D2/n).

Theorem (Sparse)

If F requires depth D, then LG(F) requires regular length ∼ exp(D3/n2 log2 n).

G is a random graph of degree d = log(n/D).

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 9 / 17

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SLIDE 25

Proof

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 10 / 17

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SLIDE 26

Proof Overview (Dense)

Random restriction technique

1

Hit proof with random restriction ρ.

2 If proof of F is short, obtain proof of F↾ρ = F′ with no wide clauses. 3 But all proofs of F′ have a wide clause.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 11 / 17

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SLIDE 27

Proof Overview (Dense)

Random restriction technique

1

Hit proof with random restriction ρ.

2 If proof of F is short, obtain proof of F↾ρ = F′ with no wide clauses. 3 But all proofs of F′ have a wide clause.

◮ Need restriction to respect lifting: L(F)↾ρ = F′ = L(F′′).

[AJPU ’02]

◮ Need to tweak what “wide” means. ◮ Clause is “complex” if

[AJPU ’02]

◮ talks about many main variables or ◮ matches many original variables or ◮ restricts the neighbourhood of many original variables

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 11 / 17

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SLIDE 28

Proof Overview (Dense)

Updated plan

1

Hit proof with lifting-respecting restriction ρ.

2 If proof of L(F) is short, obtain proof of L(F)↾ρ = L(F′′) with no complex clauses. 3 But all proofs of L(F′′) have a complex clause.

◮ Need restriction to respect lifting: L(F)↾ρ = F′ = L(F′′).

[AJPU ’02]

◮ Need to tweak what “wide” means. ◮ Clause is “complex” if

[AJPU ’02]

◮ talks about many main variables or ◮ matches many original variables or ◮ restricts the neighbourhood of many original variables

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 11 / 17

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SLIDE 29

Proof Details (Dense)

◮ Finding a good restriction is not too hard.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 30

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 31

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 32

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree. Original Main

r5?

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SLIDE 33

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree. Original Main

s1

5?

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SLIDE 34

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree. Original Main

s2

5?

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 35

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree. Original Main

s3

5?

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 36

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree. Original Main

s4

5?

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 37

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree. Original Main

r4?

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 38

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree. Original Main

r4? x5?

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 39

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree. Original Main

r4?

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 12 / 17

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SLIDE 40

Proof Details (Dense)

◮ Finding a good restriction is not too hard. ◮ To prove that all regular proofs have a complex clause:

◮ view proof as read-once branching program for Search(L(F)) ◮ use to build decision tree for Search(F).

Can query and forget but not requery Given truth assignment α, find clause falsified by α

◮ Key invariant: match original variables to

main variables consistent with decision tree. ◮ If query selector variable: say “not matched” unless forced to. ◮ If query main variable: if matched, answer according to decision tree.

◮ If no complex clause, then a coloured main variable is never matched

◮ Hence must query D main variables. ◮ Hence (read once) must query D different main variables. ◮ Contradiction, only have m < D main variables. Original Main

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SLIDE 41

Experiments

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 13 / 17

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SLIDE 42

Experiments

◮ Experiments with sparse stone formulas.

In theory. . .

◮ Short proofs always exist. ◮ 100s variables, 10 000s clauses.

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 14 / 17

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SLIDE 43

Experiments

◮ Experiments with sparse stone formulas.

In theory. . .

◮ Short proofs always exist. ◮ 100s variables, 10 000s clauses.

In practice. . .

◮ Few main variables ⇒ very hard. ◮ Many main variables ⇒ restarts crucial.

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SLIDE 44

103 104 105 106 107 108 10 20 30 40 50 60 70 80 90

Conflicts before solving Main Variables Sparse stone formula, base depth D = 12 luby 10luby 100luby 1000luby no restarts

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SLIDE 45

102 103 104 105 106 107 10 20 30 40 50 60 70 80 90

Restarts before solving Main Variables Sparse stone formula, base depth D = 12 luby 10luby 100luby 1000luby

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SLIDE 46

Take Home

Results

◮ Generic tool to prove regular resolution lower bounds: lifting with reusing. ◮ New and simplified lower bounds for regular resolution.

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SLIDE 47

Take Home

Results

◮ Generic tool to prove regular resolution lower bounds: lifting with reusing. ◮ New and simplified lower bounds for regular resolution.

Open Problems

◮ Are restarts needed? ◮ More formulas that separate regular and general resolution?

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 17 / 17

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SLIDE 48

Take Home

Results

◮ Generic tool to prove regular resolution lower bounds: lifting with reusing. ◮ New and simplified lower bounds for regular resolution.

Open Problems

◮ Are restarts needed? ◮ More formulas that separate regular and general resolution?

Thanks!

Marc Vinyals (Technion) Separations Between Regular and General Resolution by Lifting 17 / 17