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Paper Citation Record · LEDGER

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.12328.

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

pith.paper-citation-record.v1
2505.12328 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:39:33.801954Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ecd7814-ab94-4e6b-a58d-2e0ec4dc299f · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.679116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.679116Z digest=sha256:019ec09840ea811f7580a25f4a9c2d3649449491ef1d2965d951dd1a5c3e5a9f

Observation a2977020-4149-4ca1-9e41-639af0f5c818 · outbound

This paper cites FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving

Reference 2

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no resolver link, observed 2026-08-15T20:39:33.685041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.685041Z digest=sha256:2d3c5fe834038a7e4d4497d4ddf388e525c85c514116ce92c51560a7d9ea1b7b

Observation 62608423-6418-4218-a361-8edde3eee31d · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-15T20:39:33.689191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.689191Z digest=sha256:9363727d0ff3e1ae026b05e705c64fd379a169f19a6850f9c174676745d1d9a7

Observation d5fefe2b-f05d-4c68-9144-026ecdcedc12 · outbound

This paper cites ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning

Reference 4

Resolution
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no resolver link, observed 2026-08-15T20:39:33.693834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.693834Z digest=sha256:813666d74b52b6b30c4c9d3e60dabefa151bf4cd082fd3806eb2eb3c74f39679

Observation 511a204a-89df-4818-a0df-43536cce194e · outbound

This paper cites GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation

Reference 5

Resolution
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no resolver link, observed 2026-08-15T20:39:33.697878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.697878Z digest=sha256:f0f4c6cb141d1d9411704a28a30fab9cee752b4f9ce016ea404e418f73757e59

Observation b849478b-d92e-4afa-8332-850f4acff804 · outbound

This paper cites Advancing Process Verification for Large Language Models via Tree-Based Preference Learning.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Advancing Process Verification for Large Language Models via Tree-Based Preference Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.701889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.701889Z digest=sha256:7e1282ed269cbd075c5f82f8d77c4dd376b4f23f654733109b54efd5659f92c3

Observation d822cfe9-f980-458a-8f43-2dc0eaa89d52 · outbound

This paper cites Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:39:34.000646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:39:33.706526Z digest=sha256:daa3303ddeffe0d030f842d2a393020169971c30d6e3d463f120e7cf465d05e8

Observation 830b9d02-d2d0-4b1b-8b33-1ff51b8a0b66 · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:39:34.128426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:39:33.711172Z digest=sha256:c5c0f6806dd64c86f5cbd4f53370847c1f158bf6594f13b220dbb1d4cb774a53

Observation 277c71d1-8d48-4b7e-9225-7759ed6e4159 · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 9

Resolution
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no resolver link, observed 2026-08-15T20:39:33.715097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.715097Z digest=sha256:627aea5983b8e4359e8f89be873c2f6a022e4a2b47c2920639cd092a958d0432

Observation f68f0223-2c54-4781-ae38-523d5130da68 · outbound

This paper cites Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment

Reference 10

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no resolver link, observed 2026-08-15T20:39:33.719665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.719665Z digest=sha256:340f4efbc340217ffd4249a0970bcc0480450c9e6ee18bc1705315cc330aa644

Observation 42533f6a-2117-4522-b0ff-2bba329de205 · outbound

This paper cites Let's Verify Step by Step.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Let's Verify Step by Step

Reference 11

Resolution
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no resolver link, observed 2026-08-15T20:39:33.723776Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.723776Z digest=sha256:c1867b99215285e4390f7127e4a7a3b1e67f774dfc8586fa7d2eeeacc70f86f0

Observation 3afb351c-15d6-4aff-a89d-31ded749b3e9 · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 12

Resolution
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no resolver link, observed 2026-08-15T20:39:33.727780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.727780Z digest=sha256:cab216f4b18f17382e23712ff8eab674778fac918a332d51edf18a49d7c40403

Observation c3b16758-1be8-4dc5-ac59-a1ee0b31d18f · outbound

This paper cites MANN and SANDRA A.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning MANN and SANDRA A

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.731525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.731525Z digest=sha256:6b924251555bf831958435b3df4b657604f4216a3e32f1b471f930aac024a4d3

Observation 2a0101b4-ec12-4aa9-9e96-7e696cf8da64 · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:39:34.103150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:39:33.735658Z digest=sha256:ab5fe1c0b5f683c6625c5bfa9f4a6bbb763abf88f3299a26f8f4d8693a7b2e45

Observation f031688b-1a3a-43b5-8eeb-e47c35de7ee3 · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:39:34.090868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:39:33.739084Z digest=sha256:385911933b4be2819a52b405f5b933991315426f2a1068a57aff85e287fccc01

Observation 2b83aac2-8285-4370-9b32-14cbe4fc0785 · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-15T20:39:33.742447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.742447Z digest=sha256:fe908b3fa97279b5b2bfdc0ca8f2ce82f95b8b92ed8b3023f6acf10598ee0d6c

Observation 7175e17b-21eb-4185-90fe-85ff6b3ccf2d · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:39:34.079258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:39:33.746226Z digest=sha256:d13c1006c854d2a48a3419a19c370678d19d2e07eadb2ad5c5932d8f10a73e0e

Observation 7529d104-fe13-4009-b263-849488e4f778 · outbound

This paper cites ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Reference 18

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no resolver link, observed 2026-08-15T20:39:33.749774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.749774Z digest=sha256:28dedde5bc2de6283bc9042e307e0577dfaeb7c655b763b2b23ce53ad8a7841a

Observation 5870f9ef-2ee3-439b-8e55-9fefd68ce687 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Solving math word problems with process- and outcome-based feedback

Reference 19

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unresolved
no resolver link, observed 2026-08-15T20:39:33.753535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.753535Z digest=sha256:d202569b9cef5fce50e056a9f63b28bc5f454586900c67fcdb37712a34480c90

Observation 34b258e3-4b99-4fbc-9968-a2556093ce25 · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.757407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.757407Z digest=sha256:a4739304d60f081a97df0862c1e52965b98e6f92e0bc06a4435a1fafbb48fde7

Observation 7637a4b1-b4eb-41ff-8359-fef08fa53a43 · outbound

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

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.761188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.761188Z digest=sha256:344cd837b9fcf05bdb4297adf0350e349cb9fc3696d616ba3e9a34d43e58a15b

Observation 77057709-1e82-4103-8424-c4cf67cd4252 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.765177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.765177Z digest=sha256:645ea8d9846e7bf1f1808b480a05f0d0a110a16bfbd432eb123ab0df39f2c0a8

Observation 85c697fd-1f87-48d1-94b2-f0e33b94f42c · outbound

This paper cites Evaluating Mathematical Reasoning Beyond Accuracy.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Evaluating Mathematical Reasoning Beyond Accuracy

Reference 23

Resolution
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no resolver link, observed 2026-08-15T20:39:33.769211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.769211Z digest=sha256:1b4a8195fce896d35d1ac934ec36d428852baa55a03f0c564074cc2209ffc8b0

Observation 43a2f1b6-21ca-4f2c-9ee6-939ed2f9a0b2 · outbound

This paper cites Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.773480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.773480Z digest=sha256:a3a5b31931253ec55f1251288cd258aeeb8df71728b4e1d4f15397485803ccf0

Observation bc15464c-bd4a-41b4-914a-810ae99ab371 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.777624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.777624Z digest=sha256:9303558f9c0b0c60b4befd439e5f1f7d4b243e5fb6196fce5f2a85dac291e71b

Observation 5ce8a393-4c7b-40bf-8525-039bc60a2020 · outbound

This paper cites eRST: A Signaled Graph Theory of Discourse Relations and Organization.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning eRST: A Signaled Graph Theory of Discourse Relations and Organization

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:39:33.885968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:39:33.781781Z digest=sha256:fa23d7bd655529f2b7ec5ec71437d7fdb9204b05a9820f31c76e306dec7a8e7e

Observation c2c14ca7-56c2-45bf-97ec-e5cbd465f963 · outbound

This paper cites an unresolved cited work.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:39:34.067945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:39:33.785794Z digest=sha256:98243f419708592d16439cb71affc1f3f66c53a0f1fe2f4dd4eca1b1a4444b1c

Observation 8066f0ab-a82f-4b12-b3d4-8c4fc3945dd9 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Automatic Chain of Thought Prompting in Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.790067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.790067Z digest=sha256:a49651cdc6356634b8bb145e6d542bff3d631cef60048fcbdf4c30efc1c90e09

Observation 6d3ccabb-e69a-45d4-ae55-031338ec9247 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.793730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.793730Z digest=sha256:e12fd8b4285a4f8707a290b8d62931ae8283bd1f955e5f209b083f192f500bc8

Observation 1f15a880-5199-478d-bc00-2ef6d20f7b9a · outbound

This paper cites online" 'onlinestring :=.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning online" 'onlinestring :=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:33.797887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.797887Z digest=sha256:284979e9b6890a83d014b841a822ececc844b8a1adfd904dbc33109dd3415187

Observation 54ee6aad-74af-4e68-9dfd-ff232b26035e · outbound

This paper cites write newline.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning write newline

Reference 31

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no resolver link, observed 2026-08-15T20:39:33.801954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:33.801954Z digest=sha256:07b8e4bff512648ed7d40bde20732f5401b544c27c2d49d96f13e7d6a07a4747

Pith citing papers

No inbound Pith citation observations are available.