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Paper Citation Record · LEDGER

Large Language Model Meets Constraint Propagation

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.24012.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.24012 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:56.845720Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved4
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98ba7793-ca96-45e0-b812-c5ad5b98a855 · outbound

This paper cites Hanjie, Runzhe Yang, and Karthik R Narasimhan.

Large Language Model Meets Constraint Propagation Hanjie, Runzhe Yang, and Karthik R Narasimhan

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4b7af7aa-c4d1-4116-a872-493df53d5ed1 · outbound

This paper cites Bartoldson, Bhavya Kailkhura, and Ferdi- nando Fioretto.

Large Language Model Meets Constraint Propagation Bartoldson, Bhavya Kailkhura, and Ferdi- nando Fioretto

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:00.298538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cef9ab56-e2c0-443c-a4cf-9b32f95203fd · outbound

This paper cites Adversarial tokenization, 2025.

Large Language Model Meets Constraint Propagation Adversarial tokenization, 2025

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8e7e59aa-6a20-4b4a-a929-ec36821080f6 · outbound

This paper cites Chi, Quoc V.

Large Language Model Meets Constraint Propagation Chi, Quoc V

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8b68c25b-5458-48a4-8883-b067d2e0fda5 · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

Large Language Model Meets Constraint Propagation Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:54.011601Z digest=sha256:835692a5450fdb6ab4a765c2da862acc763af609c90c28d7fa5a1cffd7d07a72

Observation edf759c4-d85b-48c9-a74f-1ad7935200aa · outbound

This paper cites Fast lexically constrained decoding with dynamic beam allocation for neural ma- chine translation.

Large Language Model Meets Constraint Propagation Fast lexically constrained decoding with dynamic beam allocation for neural ma- chine translation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:59.840488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ec7148c9-483f-43f3-9e16-1e36d5e367f8 · outbound

This paper cites Smith, and Yejin Choi.

Large Language Model Meets Constraint Propagation Smith, and Yejin Choi

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:54.159819Z digest=sha256:cf24a3000134e1411a8c9a56a35023af55c6275924075b8f7878008f07a3617f

Observation 6baba849-1e5c-4e9d-b646-dd77a43b254a · outbound

This paper cites Constraints first: A new mdd-based model to generate sentences under constraints.

Large Language Model Meets Constraint Propagation Constraints first: A new mdd-based model to generate sentences under constraints

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8c3f2936-114f-4caf-9929-315c7ed7bb5b · outbound

This paper cites Intertwining cp and nlp: The generation of unreasonably con- strained sentences.

Large Language Model Meets Constraint Propagation Intertwining cp and nlp: The generation of unreasonably con- strained sentences

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:59.382185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:54.352100Z digest=sha256:7d92a17ff5a2036277aee6758e61223729eacd3532ef75abfdd2e0e71226834c

Observation 9f8e8166-15ca-490e-bf18-97b15319aa91 · outbound

This paper cites Markov constraint as large language model surrogate.

Large Language Model Meets Constraint Propagation Markov constraint as large language model surrogate

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:54.489572Z digest=sha256:fbbc304b82b470116d6ffa3e91d134d5602c60cd5de4ef6fee332bcea6aaa69e

Observation 6f092341-92ce-44fc-936b-93eec9565eac · outbound

This paper cites Combining Constraint Programming Reason- ing with Large Language Model Predictions.

Large Language Model Meets Constraint Propagation Combining Constraint Programming Reason- ing with Large Language Model Predictions

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:54.568242Z digest=sha256:fa6b5d4c671b1e7722153c3446b3c6c6773c8dd1eef9c4e505fe8efd9fadcb54

Observation c0c6741f-363c-4600-beac-2a079a145f7e · outbound

This paper cites The curious case of neural text degeneration.

Large Language Model Meets Constraint Propagation The curious case of neural text degeneration

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4536babd-5779-41b0-910f-291b404cf4ac · outbound

This paper cites Where is the signal in tokenization space? In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3966–3979, 2024.

Large Language Model Meets Constraint Propagation Where is the signal in tokenization space? In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3966–3979, 2024

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fd43477f-80e9-4dbd-bb45-febf43bfa209 · outbound

This paper cites Markov constraints: Steerable generation of markov sequences.

Large Language Model Meets Constraint Propagation Markov constraints: Steerable generation of markov sequences

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.927368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2305328c-e7c2-4749-a1cf-77949bd69279 · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding.

Large Language Model Meets Constraint Propagation BERT: pre-training of deep bidirectional transformers for language understanding

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.850613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:55.009222Z digest=sha256:31c1e84f7383ac7be36008aab3da858e344474b94c97fc5e294cfd5b5f02dc51

Observation eef691df-bd46-4d7a-8206-96e7ebccc75e · outbound

This paper cites Constraint propagation.

Large Language Model Meets Constraint Propagation Constraint propagation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.732776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 97b23d26-bbed-4633-9a5f-1064da61f3e4 · outbound

This paper cites Markov constraints for generating lyrics with style.

Large Language Model Meets Constraint Propagation Markov constraints for generating lyrics with style

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.693074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:55.109120Z digest=sha256:a62b1fe3c38211a7945e9cac8403000fa7766ac78d1bccbe34eaed1dae312f08

Observation 02babfa4-a7a2-401c-b3d3-a357092a9c5d · outbound

This paper cites Avoiding plagiarism in markov sequence generation.

Large Language Model Meets Constraint Propagation Avoiding plagiarism in markov sequence generation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.635106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:55.159708Z digest=sha256:78f5c59b00589998862704d3bb9c9605c75752e4536ccb262a8a27389a08511a

Observation c23ac38e-5c7e-4050-8a86-065fef7b6d85 · outbound

This paper cites Generating all possible palin- dromes from ngram corpora.

Large Language Model Meets Constraint Propagation Generating all possible palin- dromes from ngram corpora

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.550139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c290aa1f-069e-42cd-b395-05b316fe1568 · outbound

This paper cites Assisted lead sheet composition using flowcomposer.

Large Language Model Meets Constraint Propagation Assisted lead sheet composition using flowcomposer

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.476378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:55.325706Z digest=sha256:61c3692a4ed17cc49e7748771804734acc85fae8f011c659453f7bc10c8008ef

Observation b4bb3a9a-844c-4693-aa2f-40843d54b98c · outbound

This paper cites Expressing musical ideas with constraint programming using a model of tonal harmony.

Large Language Model Meets Constraint Propagation Expressing musical ideas with constraint programming using a model of tonal harmony

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.399994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:55.399454Z digest=sha256:7f7867667e752015d70e8464555efd6840c5c0eb7d119244b8eb9064cf5b8d7f

Observation c92cbe3f-6946-498e-9c5b-26b31d380c7f · outbound

This paper cites Lexically constrained decoding for sequence generation using grid beam search.

Large Language Model Meets Constraint Propagation Lexically constrained decoding for sequence generation using grid beam search

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.314378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:55.449719Z digest=sha256:dd32dc53682283a2a396f8b84097caa454f3fc8302b9427ec1f02d4d40e87013

Observation a6d639a2-eea2-447c-8447-10b50d0bb3db · outbound

This paper cites Neuro- Logic decoding: (un)supervised neural text generation with predicate logic constraints.

Large Language Model Meets Constraint Propagation Neuro- Logic decoding: (un)supervised neural text generation with predicate logic constraints

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.245662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 81155c10-74f1-4397-aa71-0cbdf0819dd3 · outbound

This paper cites Using on-the-fly model checking to improve constraint programming for dynamic problems.

Large Language Model Meets Constraint Propagation Using on-the-fly model checking to improve constraint programming for dynamic problems

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.179684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:55.674602Z digest=sha256:954290b90ebd1539065a36e269c31fa259bbe8de7479e42cf8906923bee136c6

Observation 9deb284a-cbcf-4728-affe-80a64117ff00 · outbound

This paper cites Generative constraint programming.

Large Language Model Meets Constraint Propagation Generative constraint programming

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:58.137680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:55.772605Z digest=sha256:e463cbe6dc152cbc10d6439581093028364afa68272b0478a533d28d4d8e16ea

Observation ddb7d4aa-df37-4093-a9d7-2f1b02168d51 · outbound

This paper cites Why is constrained neural language generation particularly challenging?.

Large Language Model Meets Constraint Propagation Why is constrained neural language generation particularly challenging?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:55.894786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:55.894786Z digest=sha256:bd06b90ff5c5b14b7b66cc02194b8b8826e77eaa39f424a3f008098f0da01981

Observation 59115db8-b128-45ea-8876-2d0d68db9560 · outbound

This paper cites A dynamic programming approach for consistency and propagation for knapsack constraints.

Large Language Model Meets Constraint Propagation A dynamic programming approach for consistency and propagation for knapsack constraints

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:57.986627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:56.008118Z digest=sha256:6424c8ab8fe07a7c74759d75ad9b1f946b64a4d0581743adf9b5856048b45ff8

Observation 923ee6ee-2bf8-432f-be34-cbe729f8d4e5 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Large Language Model Meets Constraint Propagation Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:57.834301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:56.118441Z digest=sha256:d45fa054f9cb43c06b247a605b8b6e9749c78ff33b2f4049322b88b010a96eee

Observation b2f43a7e-a1c9-427f-89d8-214f9fb73466 · outbound

This paper cites A Survey of Quantization Methods for Efficient Neural Network Inference.

Large Language Model Meets Constraint Propagation A Survey of Quantization Methods for Efficient Neural Network Inference

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:56.274457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:56.274457Z digest=sha256:68fdea7687b2911f4ad6d106373e6ddecbb44fa3507a548f27c5051fca63da1c

Observation 9e0abb26-7f78-4e4a-a5b0-948c73f28910 · outbound

This paper cites Thinking, fast and slow.

Large Language Model Meets Constraint Propagation Thinking, fast and slow

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:57.603055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:56.427843Z digest=sha256:422074a0cc97fd668b04eb288270190d2c60c2a15a31651bbbe8df2d9eee7374

Observation 940f9649-b7d4-4d5f-be5d-701eaf6b1a25 · outbound

This paper cites Thinking fast and slow in ai.

Large Language Model Meets Constraint Propagation Thinking fast and slow in ai

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:57.391623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:56.544697Z digest=sha256:29b209d8048df8f28b27958556cdaa2c9ccc9f49456d9c8dea0bed53b5e22ba2

Observation 3cce8f23-c007-4951-95dd-60a1ac31604a · outbound

This paper cites Lazy arc consistency.

Large Language Model Meets Constraint Propagation Lazy arc consistency

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:57.170727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:56.671981Z digest=sha256:28504251c80d950bc20c513acc6f794d6eb7244fe36a616f7b51e1519f0734f5

Observation 9765a5ce-47ee-4ce8-80c4-7f6201358d93 · outbound

This paper cites Constraint-based scheduling: applying constraint pro- gramming to scheduling problems, volume 39.

Large Language Model Meets Constraint Propagation Constraint-based scheduling: applying constraint pro- gramming to scheduling problems, volume 39

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:42:57.069304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:42:56.845720Z digest=sha256:b1f5c7a7d0f26e18c2ae969d9c3637568bcf42b32bebfcdc7ab0bf41de2a7207

Observation 8f2507be-b1aa-4d3f-93c4-558b0317cab1 · outbound

This paper cites an unresolved cited work.

Large Language Model Meets Constraint Propagation Unresolved cited work

Reference 2020

Resolution
parse uncertain
no resolver link, observed 2026-08-07T12:42:54.739359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:54.739359Z digest=sha256:d176999da7d6eb13068ada4f98ed16a8d6d96a6523c9699be1f31abf3304bd4e

Observation d16883cd-6ae6-4f7d-8396-5c5d60a24fd4 · outbound

This paper cites an unresolved cited work.

Large Language Model Meets Constraint Propagation Unresolved cited work

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:55.569066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:55.569066Z digest=sha256:c375cc7e4061f59efa38177f6a2cbb5cf10c95c810edb1e156f6c0644fea6b5d

Pith citing papers

No inbound Pith citation observations are available.