Pith. sign in

Paper Citation Record · LEDGER

Large Language Model Meets Constraint Propagation

As of 15 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 2026-08-15T06:32:42.880941+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
raw_fallback, observed 2026-08-07T12:43:00.420402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:53.501613Z digest=sha256:394285520eda4c9b09c4efa9ad87670a02618d815c43a1dbada6d89c7eedd3fa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:53.580556Z digest=sha256:2afdbac9806aae808ea661e145c2240d80771735a63a8be2f91f986691b279ac

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
raw_fallback, observed 2026-08-07T12:43:00.190740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:53.747514Z digest=sha256:1263df1e0eefe25ebe806fded1d6683bb65378841c72c606fd4bbf14de8dc623

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
raw_fallback, observed 2026-08-07T12:43:00.112730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:53.874793Z digest=sha256:1a7cdd3c850056ad118737174335d1ab369ed17c6de60ba54f9bf3ba3b575882

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
raw_fallback, observed 2026-08-07T12:42:59.973236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.011601Z digest=sha256:593f22df240f262a1673ebe08a436b09e5195e59fbe821c20c55393b0834d731

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.088440Z digest=sha256:5a2f62d5aa7f5c8293133e82c123f08393989f5808baf1dad93dc67c3cc9d4a8

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
raw_fallback, observed 2026-08-07T12:42:59.678944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.159819Z digest=sha256:7c8922306ffd601dbca2fad60a0349a376525df7afbe8162e0ab639da61e1e7d

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
raw_fallback, observed 2026-08-07T12:42:59.543622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.233927Z digest=sha256:9a36a0aa8e2e11525178a96dca137a956ed6e7b955e01572565667def9d2cc33

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.352100Z digest=sha256:7a628b1f330989085bd4950e293871e6702428875cf8c0a3156c5c3f2648c92f

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
raw_fallback, observed 2026-08-07T12:42:59.239403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.489572Z digest=sha256:bb440b69b79c3ed1855501d337112a4a84f1601091d6f7df68ff9083890945a6

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
raw_fallback, observed 2026-08-07T12:42:59.129597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.568242Z digest=sha256:4eab285f749c1ddc38ddd3b8008a2a7453891c474ac652bd53edfbdd725c790f

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
no resolver link, observed 2026-08-07T12:42:54.662289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:54.662289Z digest=sha256:57411dfa69b8d8cc047e54662d3e5f617f0acde1c8cb3126944432c02f3d53d3

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
raw_fallback, observed 2026-08-07T12:42:59.022460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.839156Z digest=sha256:54fe570ab74a79a36ab8a6237e54954759f840ca660ec44c1edd0def01d54469

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:54.932143Z digest=sha256:6b882e9a82fa90e254ec650ea111959e3f858b1fa638221ed02cc25489e4fb1d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.009222Z digest=sha256:adbca2098d582091332211c430211980af7a13791987fb4afc3c3053e79b43a0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.063203Z digest=sha256:0027296eeb738a0ddb145583bcb95277a4f423f9bd7ab7e5fbff93c13b8f44f0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.109120Z digest=sha256:17fe0e8830a268e200c91b14deed36cf5566be68872f471d7be870d83715b1e5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.159708Z digest=sha256:b402cb8712f1c57b7f8bb75e121ef58d4327166b9cbf5263b34586c758f8e8c2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.274012Z digest=sha256:abafb369a4333d55fe753c25f65bfd90747e0ef79d1810cb5e59231e3e42110a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.325706Z digest=sha256:c45b9eaa557048b822cd3478ec8f0e7c78c49e639e63ddd15c7f6afcd2ea8c7b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.399454Z digest=sha256:483a533efce2ba5c3fe76f227ca4475aa5ea573300cec2371b6f308662e1fdf3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.449719Z digest=sha256:80b9e6ea1aca672f866ddb0a43502761d8577c4d56cbd5d8784e600b2764ee1a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.510328Z digest=sha256:89ff7a17770a8852df4e51fd5f9cda8ed42e70dbc90223b04af776ecf1422d3f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.674602Z digest=sha256:8afd04c99f14f7790d11b013334b533b8d7a69bf6704124c8fac7406006a2b0c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:55.772605Z digest=sha256:9ca2263b71333d42749a34adb3ea3745da51b161dda69c9f939417fba30b493a

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=sha256:5a9aff0f60e99717f47c73c7d97c0081250735d6d3bc1c1f8ee3e587c17fec23

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:56.008118Z digest=sha256:0b3e2f6d1f4ea37c4a90fbb40a18ef73678bfe1381cbba7534dcaf47658b1af1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:56.118441Z digest=sha256:f4312e07e73f5363595d9e75008ff3b3263dae5714c4011011bc03645fd1bef5

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=sha256:88b3b1c70ebe6c911bd36661c748b84dcf5b0bdcded41aab08029c42456469f7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:56.427843Z digest=sha256:292dd0b7ef067f81f887fc008bfb3162f5f33149d7b617bff41effae54c73247

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:56.544697Z digest=sha256:649ba6e8752444cbeb23d272ed7a73101ceeb4afbd73c92ea5e5d90d9c7ec12e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:56.671981Z digest=sha256:11d264418b6e9a714791ac81b4e915b59dc2f75c4f3c9df82de8c4073d0dc685

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:42:56.845720Z digest=sha256:8d8190632ed6cb1a3885db860686dde147e817205ce661af46bb5986ed1fcd14

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=sha256:6e3359fd58224ea9805d3089080a1ca8f970b379365b78faaf5cf3b4460f5b74

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:e0d6c2a3bc1868710f432832ce9a7536c84a61126fc9530d1ab2f72926d4d7bc

Pith citing papers

No inbound Pith citation observations are available.