Pith. sign in

Paper Citation Record · LEDGER

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 3 inbound Pith citation observations for arXiv:2511.19078.

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

pith.paper-citation-record.v1
2511.19078 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T18:31:46.510611Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:56:44.562418Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T11:14:37.246261Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact11
  • verified fuzzy1
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 779f377c-83f4-4636-99ce-7a3717bd0aad · outbound

This paper cites Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:34:17.953273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:9232b96e2d5d2cd10304f4b8968a5109fe878b4c729fb16f224c1f92c50e93fa

Observation 3b53b61c-39ab-4a36-b9b1-2b1033ec64b3 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.525274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:812bac93f0708399e0370cfec435f08b2bb2391de066630bb8f76cb040d75a74

Observation d0802a44-181c-4fe7-90d1-779cc5046fbc · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.527374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:e4f5179453a6e21f5187cb78698fb47814394ad29322124f9e5a5aa7cf231bfe

Observation 6621e6a0-8197-476e-9dea-d71e8dced4a0 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.529526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:510164db3d977840e922121f2f98acfbd35816799e61d4d1cdab6f25811a3745

Observation 75e80f71-7d08-4a8d-81b0-e89451a1b581 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.545233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:122eb446e634f5866032af70eab900eeaa4fb161b2eff0deed97c8f03c6e99a9

Observation 7ed88a64-5841-4500-91bf-53c91300aa63 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Training Verifiers to Solve Math Word Problems

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:34:17.961241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:9ba15c4b30cfd38fc4b8616c4ed08e4e49cf9d1e1dcda5efc58414343148368f

Observation 2a2f1f5d-51fb-4b8f-a49d-fc0103df2bea · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.517873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:3aaef78744c5990363ea2c0763c0a7b7c409bb7d2601bf539ff80574d5ec2261

Observation da667ddb-617f-4720-8e75-2966ccc9cd2c · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.501320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:4e65eeed928fd8bed48bf05af18e1a7724237236ff803c95f7247677526e420f

Observation 225356bf-2e29-49d0-86ad-4c0da6695f66 · outbound

This paper cites InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T18:34:18.507453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:6aaadc6af239e72085dd4f4c464dd7f7e0d4f257f29d884cc8473c7fda142140

Observation 8f8fc354-7767-4454-94c8-8435906fd91e · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.514352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:9abd4fd0e402ba9881ba823119df7e3fdb832de48e8c06927515361c1d21d8ec

Observation ed85de8c-dfce-4e4b-ba0a-e97c9f3582c2 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.520374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:9de249f86e5fe5aa1360d54c91b4299a12cb93d014fe760e12ca9c2556decb18

Observation f9e62fb5-fd2d-4091-aefd-d63abc248e29 · outbound

This paper cites High Dimensional Robust Consensus over Networks with Limited Capacity.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning High Dimensional Robust Consensus over Networks with Limited Capacity

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:34:17.974842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:6c4553c1ce3749131b20910c1f361c0dd31d913cc798621dcd00e5549a433f2e

Observation 01e4cb2e-1a46-42cb-8174-8be70dbe1849 · outbound

This paper cites GPT-4o System Card.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning GPT-4o System Card

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:34:17.964374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:9688bc7dcb6a000c977e596035374f904a8f69ffe6ad6890f773620fd7d038c7

Observation 7026a9c9-83ec-4765-9f9a-3ee8484ab0f9 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.512066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:ce675fea5b99f156cf86971eb76e79230792b1cb6ccc79ddd1520ac5e1e32547

Observation a8dd831a-452f-4eac-835b-2a900001023f · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Large Language Models are Zero-Shot Reasoners

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:34:17.941719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:f53a7e57157244ffe37dd44e98aeab64cdb58f9b261ab0d5e44ff42ad51a5575

Observation 4f855756-1398-4415-990a-3e3dc4be03ea · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:34:17.934388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:9905f18476a9292fb0da9fe0a145940509dd072912679098ea4664bc50f103e9

Observation 30ed0407-feea-4758-b574-f82ca49c3b9a · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T18:34:17.971557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:f26e4312f6b71d849d7794e3683537eb24d8d6d0ec424d8f5954f9a71756a95b

Observation 843065bb-ba06-4d82-84a6-dc62c6d72d3e · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.539900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:26b3060e09d502c67374bec286979cf2b7fe0b9178eb77c3eeb4e3e52632a6cd

Observation 3c75b3c1-f145-413b-b2d9-ef1f192109f3 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.537586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:8f73e58ebc801be5d07fea7726736691ae7875119570026799cb9cd86cb3b94f

Observation 67eae951-c950-469c-a9d5-8683a5eadc3f · outbound

This paper cites GPT-4 Technical Report.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning GPT-4 Technical Report

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:34:17.967842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:295e9fa65f7a3e9e0dd353ba2ffebab9d9fb26fcd704175ff0d0e91d9a9280c6

Observation 409a880e-031e-4be1-866e-44695bc0063d · outbound

This paper cites Graph Neural Prompting with Large Language Models.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Graph Neural Prompting with Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:34:17.948909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:b3633ea27b2a3931640c3a955e5feb90ad69457d18f122c6826dd67940fb6224

Observation 82900e71-a856-4c1b-95cd-298e740f3793 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 22

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unresolved
raw_fallback, observed 2026-05-21T18:34:18.543153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:cccf3c0b3dce3721472ed4973a08342ec412f7c20102cc64606ca122d484b9e5

Observation c05b89af-87d0-4a52-8cd8-d9972cbfc67c · outbound

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

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:34:17.949281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:e069f4ec5fd1a5936ca320bf9bb9b57b41af3a21d1d7cd77ffe7a24882aa3ace

Observation 78311683-7081-4951-9888-7d6d1739b568 · outbound

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

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:34:17.945681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:5b1aeb4da2be2b5789ecea081ff26ff4e919422c7433062894c14d142f148f84

Observation 4162e015-673a-42ae-bd0b-59b21bd62987 · outbound

This paper cites Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:34:17.957013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:f282e958cf269c7b57258e6fa0b1cf2b1c053ec616f641e2894e63c774204d87

Observation 6cc0f2c6-0650-4069-b8c7-1b19edbdd919 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.531503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:67706b2ac93fbee8d6be8879b10416bf6077621dc981cea512619b1fd35943ed

Observation 540d903c-c2a4-4dc1-8847-56cb801b7552 · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.533645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:b1bafc738c45ab8edd97dd69374732b97919f2d1bae2bfa6b84b2915a16eee6f

Observation f29a4aaa-0ba2-40d9-bd12-883db1f7bd9a · outbound

This paper cites an unresolved cited work.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-21T18:34:18.535685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T18:31:46.510611Z digest=sha256:8378b9918430975757d330e46802bb86798ef7b3dd7c2a654e8c0c2b0e962f6a

Pith citing papers

Observation 2909d057-3908-44e3-ac31-099e82b2e647 · inbound

Nazrin: An Atomic Neural Proof Automation Tactic in Lean 4 cites this paper.

Nazrin: An Atomic Neural Proof Automation Tactic in Lean 4 GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T21:56:44.562418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:56:44.562418Z digest=sha256:40168b6cbd35944805c31db10969a6be1b1659bbb8b5bc458da45bd20e6b29b1

Observation 84f9f371-380f-4433-a35a-bf282dec1170 · inbound

Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models cites this paper.

Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning

Reference 5

Resolution
malformed identifier
local_arxiv, observed 2026-06-27T18:31:08.070946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:e495c72a978c5b5c4570bbb120f09b1cac22e50b61f8d948f146ac783f99e09f

Observation 6d5dca4c-4c1e-42f5-b530-afa6ee404a41 · inbound

Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models cites this paper.

Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning

Reference 5

Resolution
malformed identifier
local_arxiv, observed 2026-06-30T11:14:37.247907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:ce3b892aa4f083950f0b1035d1fd957b59c49180917d98c990f99cde7ff63fcb