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Paper Citation Record · LEDGER

Self-Correction Makes LLMs Better Parsers

As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 2 inbound Pith citation observations for arXiv:2504.14165.

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

pith.paper-citation-record.v1
2504.14165 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:03:09.449915Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:32.193371Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67ce6aad-be2c-4f27-859b-2e715b73e617 · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Self-Correction Makes LLMs Better Parsers Large Language Models Cannot Self-Correct Reasoning Yet

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.372706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.372706Z digest=sha256:d9dc7a601c16b1b7d486efc6b4f85532b46b1ace527f6611b4850cf9a59c6f7b

Observation db0d1ee9-3852-4066-9663-b4d3bfaf675a · outbound

This paper cites In Proceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 8174–8185, Singapore.

Self-Correction Makes LLMs Better Parsers In Proceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 8174–8185, Singapore

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:03:09.818820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:03:09.380556Z digest=sha256:8bfa381648edd445f8e9e7c79ff4fc6d34c900ef52fb2e358ccf225fc129d92b

Observation e7f9c101-94a1-4e60-85e6-d37aebe64a4f · outbound

This paper cites In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023, pages 12009–12024, Singapore.

Self-Correction Makes LLMs Better Parsers In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023, pages 12009–12024, Singapore

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:03:09.799681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:03:09.392327Z digest=sha256:cf9e8712da014b30413657d4ff13b5474dd8a3a13cee56cd3d35e017f2d52345

Observation 960317da-fbb5-48b6-88b5-0dab4099ba26 · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

Self-Correction Makes LLMs Better Parsers Detecting Pretraining Data from Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.398574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.398574Z digest=sha256:68ae54c012cf77602384c77b8086283695760e79ac4a1fe2352a4479b7529b1b

Observation 3fa4b5b1-62e1-44fc-a2e9-f0f1f28b7ad2 · outbound

This paper cites LLMs cannot find reasoning errors, but can correct them given the error location.

Self-Correction Makes LLMs Better Parsers LLMs cannot find reasoning errors, but can correct them given the error location

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.408426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.408426Z digest=sha256:2c6a12f1d8b9d13689f924dcd87c0eb0136b2b9a3cc345f15effc7fbcb222294

Observation d90f7137-c362-4bca-98c4-22128f49bf20 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Self-Correction Makes LLMs Better Parsers Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.416922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.416922Z digest=sha256:2b01ee539926996a9daee841cf50d5341d3d1acee204ff048d0c99b23b409a34

Observation 0cda4a1b-b323-4e41-a0ad-4aa43228d3ba · outbound

This paper cites Qwen2 Technical Report.

Self-Correction Makes LLMs Better Parsers Qwen2 Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.425207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.425207Z digest=sha256:c166235c350090794f64015efe8e46233dc862f967ff9e07e4f49646e76d1d16

Observation 39ff37ea-4935-4b2c-aee5-158d7e8b6296 · outbound

This paper cites How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions.

Self-Correction Makes LLMs Better Parsers How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.432020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.432020Z digest=sha256:d3171450072f9e7c04bbf65fddce3c5b440bf54a0005e3a3955413aba156380c

Observation c6f50833-172e-4943-971a-d5a07f5585da · outbound

This paper cites (S (NP (PRP He)) (VP (MD could) (RB not) (VP (VB speak)))).

Self-Correction Makes LLMs Better Parsers (S (NP (PRP He)) (VP (MD could) (RB not) (VP (VB speak))))

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:03:09.778363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:03:09.441537Z digest=sha256:7499d33522939e8fca487a25ca831c0673ea45c60e94c430453b031e88c601e9

Observation 7b99a200-f393-48e7-a997-4896b07f7c94 · outbound

This paper cites Length unmatch means the number of words in the predicted tree differ from the original sentence, while word unmatch in- dicates a word in the sentence has been altered.

Self-Correction Makes LLMs Better Parsers Length unmatch means the number of words in the predicted tree differ from the original sentence, while word unmatch in- dicates a word in the sentence has been altered

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:03:09.759007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:03:09.449915Z digest=sha256:8b6db8bffa10924cad2e608cd0ec14f88814a2635c7e5eb792c4b4bdf17444e2

Observation d983cbcd-4d27-4089-8948-8b1573c6a52b · outbound

This paper cites In Ad- vances in Neural Information Processing Systems , volume 33, pages 1877–1901.

Self-Correction Makes LLMs Better Parsers In Ad- vances in Neural Information Processing Systems , volume 33, pages 1877–1901

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:03:09.862446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:03:09.350692Z digest=sha256:7a5da9eefc72fcd1d4bd9b44a8f8df66290f874f0b3377c58b4518ab8bc654cc

Observation 99f5028d-5bc2-4598-85b2-2c2e41f1069c · outbound

This paper cites In Proceedings of the Society for Computation in Linguistics 2021, pages 323–333, Online.

Self-Correction Makes LLMs Better Parsers In Proceedings of the Society for Computation in Linguistics 2021, pages 323–333, Online

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:03:09.839104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:03:09.357737Z digest=sha256:25141531ff4f5dd7db3dd7b27d97dd8340fb55268dff382af4c2ae46ef1a3b31

Observation f3a4ebbf-87ce-4516-93c5-aae05eaa6ff3 · outbound

This paper cites Preprint, arXiv:2310.19462.

Self-Correction Makes LLMs Better Parsers Preprint, arXiv:2310.19462

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.341116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.341116Z digest=sha256:54b7fdf84c5623d5fa2c1f02d3c66c85cc8752e46513470d92b96009475a1139

Observation d09d49a4-543b-4170-9c00-fb9457979b65 · outbound

This paper cites DeepSeek-V3 Technical Report.

Self-Correction Makes LLMs Better Parsers DeepSeek-V3 Technical Report

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:09.365040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:09.365040Z digest=sha256:7e5fadf4734fe323cce4aac2b7a101f36e9cb47cfa519b4d36aa6315a09edc9a

Pith citing papers

Observation f224ef7a-be8f-4305-9551-6656799957b4 · inbound

SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling cites this paper.

SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling Self-Correction Makes LLMs Better Parsers

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:32.193371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:42:32.193371Z digest=sha256:557586cb432c7838cd1d580e0788f58399d173f72a2fd31ded3e7fc5cc9bc58e

Observation 54baf008-64d3-4cc8-86f7-5351543ba8da · inbound

Lost in Speech: Benchmarking, Evaluation, and Parsing of Spoken Bilingual Conversational Language Beyond Standard UD Assumptions cites this paper.

Lost in Speech: Benchmarking, Evaluation, and Parsing of Spoken Bilingual Conversational Language Beyond Standard UD Assumptions Self-Correction Makes LLMs Better Parsers

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T04:00:00.251825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:00:00.251825Z digest=sha256:412c4cce44d11d197270e3432bb61bdc483c1e493eb1f71b1bc2169ceb81f9dc