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Paper Citation Record · LEDGER

Introspection of Thought Helps AI Agents

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2507.08664.

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

pith.paper-citation-record.v1
2507.08664 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:19:58.908879Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:40:34.560606Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:51:54.087208Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e0f30d5-9913-4e6b-860d-b03a0a642247 · outbound

This paper cites Claude-3.2-sonnet.

Introspection of Thought Helps AI Agents Claude-3.2-sonnet

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.377818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.670349Z digest=sha256:70624b5b165e232fcf99521710c7123f20a3130a9b3b819913cde92e055698fc

Observation 698063ae-134f-412f-b74a-e196e4de614a · outbound

This paper cites Program Synthesis with Large Language Models.

Introspection of Thought Helps AI Agents Program Synthesis with Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.675040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.675040Z digest=sha256:447c7cb2119c26db3a2abe436a7f8a3727787cf2e333119885580c5e67771cb7

Observation cec1975f-fbfe-4844-a4d1-fdf4ade4b209 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Introspection of Thought Helps AI Agents Evaluating Large Language Models Trained on Code

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.679802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.679802Z digest=sha256:4918898da2cd3296a87dec1cc97a20f2f343030de3052f025db6d4bcc1d5688f

Observation aa8a7bc5-c5de-45a3-a6f3-91007411ceb0 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Introspection of Thought Helps AI Agents Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.685977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.685977Z digest=sha256:5b1ff2a9d25e1a5ac851fe760b20bbeffc634061a58ac9f9a08ada946b800d7b

Observation 82d52864-f8ef-46db-b339-205271a3abe7 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Introspection of Thought Helps AI Agents Training Verifiers to Solve Math Word Problems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.693053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.693053Z digest=sha256:443223f32be8745eeeacc84311d36675ae6ce0963c6eff8905b6e18472033916

Observation 1b1388ac-7e23-4a34-a019-d181739784be · outbound

This paper cites DeepSeek-V2.5.

Introspection of Thought Helps AI Agents DeepSeek-V2.5

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.369296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.697841Z digest=sha256:f142b71210f305ab0b77dd3603f2316d913a9f0eb5a8ab53238175dca45e2966

Observation ce47ac97-5e88-4a86-80b0-c0ed7c661e6f · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.701868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.701868Z digest=sha256:7e136b8fd0572442f4dcc8b70140cf7b7ad5b05ddcb737480190820e24a98dc9

Observation 235015e2-b448-479b-8598-ac8ca2b995d4 · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.354771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.707083Z digest=sha256:823a7fc10df042ba92c8a73d5b01f16eab558c511203d7c8d8f94f975c5a04f5

Observation e8736cf1-b39b-4a94-8c19-b8f63e859f0d · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.342367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.714374Z digest=sha256:49e3f7d3179b1323a5a72ba8683c44d7c8e5ae15140ce394e86f2a3b39af732c

Observation f5087074-ebda-48b4-acbd-8371d73af52b · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Introspection of Thought Helps AI Agents Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.728272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.728272Z digest=sha256:05c0183a4913698359ceedfcb32960856329f84078572a351858f4eeca72038c

Observation 212a1fe2-1b3e-4288-a975-dabe5b38f281 · outbound

This paper cites Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild.

Introspection of Thought Helps AI Agents Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.735013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.735013Z digest=sha256:2dad30e9bf2ddde9ef123ba27508833cce02974578c9c58ac834a9eb90235f15

Observation fea23766-f7a6-492f-8385-34e8e9e79e0a · outbound

This paper cites Understanding the planning of LLM agents: A survey.

Introspection of Thought Helps AI Agents Understanding the planning of LLM agents: A survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.738469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.738469Z digest=sha256:1159a72481e2f7acc4a7b4fa9d6d7746bdec214b30fc6edb903f4f85935a146a

Observation 67234967-36d7-4fbc-bd3d-d6211e1ceea2 · outbound

This paper cites Latif and X.

Introspection of Thought Helps AI Agents Latif and X

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.331515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.747109Z digest=sha256:e536c3fcafcf597332e199a2717f2a008b84374f25e80d2a1bd245952385b91e

Observation f0b7ce09-4331-4eef-a0c1-1f274fff60a8 · outbound

This paper cites Visual Instruction Tuning.

Introspection of Thought Helps AI Agents Visual Instruction Tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.751860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.751860Z digest=sha256:69323b80db39f0d7feefa43e07a7c54c353e0d2c65c3d758ebff58450dfde3be

Observation f93229c6-7b0a-45fd-b285-6bc2d169adac · outbound

This paper cites LogiCoT: Logical Chain-of-Thought Instruction-Tuning.

Introspection of Thought Helps AI Agents LogiCoT: Logical Chain-of-Thought Instruction-Tuning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:19:59.148041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.755839Z digest=sha256:48d778ffeef3005690bf6d9683d1452fa8bf64e79332f689bd22f2a94c05e165

Observation 9e6d85ad-6fe8-4b91-86bb-01ea673e7011 · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.323052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.759608Z digest=sha256:e3247a5d515b2ce1c6227078e386e3d62df76ba2e8f87273631033d0a90eddf8

Observation 65a1617e-b793-4644-91fd-baed4f124149 · outbound

This paper cites AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.

Introspection of Thought Helps AI Agents AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.762087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.762087Z digest=sha256:2c453a540428ef3a07bc8c4fe52fd19beffd4b6949df9eb325beb302514aba47

Observation a73b68d0-37f2-4217-9a9e-171f336ba5cb · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

Introspection of Thought Helps AI Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.766877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.766877Z digest=sha256:cc08526bbd2acd3cbb22235dcd42beb9525c1f2faa4a6b3890c95ea6f235d606

Observation bdd28ae2-2f26-4b5a-9eb2-95c4182cbd7d · outbound

This paper cites Llama3.2.

Introspection of Thought Helps AI Agents Llama3.2

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.311648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.769867Z digest=sha256:c1fa002d4d7483c41b62e24332d970f5cc7cec731648162c299d19d19803550e

Observation 74435aa1-4c2a-4774-b046-c5c8702b9b23 · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

Introspection of Thought Helps AI Agents Large Language Model Guided Tree-of-Thought

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.774270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.774270Z digest=sha256:d8f1e430e634cf459cf5c068fd5f5ef75852cd6a6f0d0359f0a5bc9167936698

Observation d47f9e15-4e3c-420a-ae76-8ba2854d2bac · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.813303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.813303Z digest=sha256:5ac6ae9f54e2f8d6d2b5335e342aa436e122e9115033a0ac6845602e6898e89c

Observation 740ae34f-bb6e-477f-819b-b77e7f1cd624 · outbound

This paper cites Marvin, N.

Introspection of Thought Helps AI Agents Marvin, N

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.296893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.827773Z digest=sha256:69b2178b673ee85a1aff4b5f098e69fb960f768c6ba4bceb702cca4e69e2330c

Observation a2cd77cf-1cd7-4038-aa6e-543929a3c8b5 · outbound

This paper cites Qwen2.5-coder.

Introspection of Thought Helps AI Agents Qwen2.5-coder

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.275423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.830620Z digest=sha256:b1101a46c1b926907469bf0932b0a5d504e175375fe9dbd8beecc28e31fe9a4a

Observation bf7e150e-864b-4fa9-b5f8-b0c7e618873c · outbound

This paper cites Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning.

Introspection of Thought Helps AI Agents Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.837160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.837160Z digest=sha256:5bcd7e07f7e05be98663019765a1bae2f094b5a709d2d4a311d22475fdbafe50

Observation 7da8a972-c4d3-48d3-81f9-ac824f969fec · outbound

This paper cites Rajpurkar, J.

Introspection of Thought Helps AI Agents Rajpurkar, J

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.264125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.840312Z digest=sha256:40e099767a2bc4dcc4f94dbb07404c7dedce1265082911e6631320a1d5b36cfd

Observation c71e246f-72f5-4b26-aff2-f7b8db89231f · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.254369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.843787Z digest=sha256:a73061b51080dfe8ac39a734aa13d54ead2b62287609259a2a169a3ad37ffea9

Observation 9efb41a1-daf0-4375-8c44-92d7f0d70637 · outbound

This paper cites Archon: An Architecture Search Framework for Inference-Time Techniques.

Introspection of Thought Helps AI Agents Archon: An Architecture Search Framework for Inference-Time Techniques

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.846571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.846571Z digest=sha256:32004433b1be0718d872351f9d835f86f8bce8321f54a83dbd0c484d8eabe45f

Observation 8dbabe53-2d96-4c7f-b6f8-702ad50c52a4 · outbound

This paper cites Sahoo, A.

Introspection of Thought Helps AI Agents Sahoo, A

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:19:59.245322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.851969Z digest=sha256:1593e032a66167835a48c5ae37836ce7572c8cb647aca0e0b51cd65c46472766

Observation a2e3665c-0c78-43da-9316-e6f3c77c9028 · outbound

This paper cites ProgCo: Program Helps Self-Correction of Large Language Models.

Introspection of Thought Helps AI Agents ProgCo: Program Helps Self-Correction of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.854627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.854627Z digest=sha256:7e55facc55ea42b03d39737d3b791b21faa866c1ab62c364525f36c7071ff866

Observation 861d5820-6957-4831-abd2-d313e9c408f3 · outbound

This paper cites SCOTT: Self-Consistent Chain-of-Thought Distillation.

Introspection of Thought Helps AI Agents SCOTT: Self-Consistent Chain-of-Thought Distillation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.857674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.857674Z digest=sha256:c976107adbeed529be0feec16d5ba4aa2b7f9eb160441d0d75d38904063db61a

Observation 82647423-cab3-4e31-a81d-d22b309f328d · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.234004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.860268Z digest=sha256:87bf39fd0573feb2e658b19ea767aba7099bc766c5826ef1c70128583b4fe3fa

Observation 1d9b1ff1-3b1b-483a-97db-8467bde5a5e7 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Introspection of Thought Helps AI Agents HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.871081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.871081Z digest=sha256:57a1a94ffef135ae85a5ec371db78c973ddf523fbd49292dc3c5047f2b014365

Observation 97b4b0ea-0a2e-4f8d-8a7e-9ee93bde91bc · outbound

This paper cites an unresolved cited work.

Introspection of Thought Helps AI Agents Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:19:59.224450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:19:58.879010Z digest=sha256:924bd5fd81ea0e66c28460a91f02bbb9a71735db209fb3d444823e105d74584b

Observation d9348ba8-f630-47c0-9e78-7698ef87de5b · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

Introspection of Thought Helps AI Agents AFlow: Automating Agentic Workflow Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.882367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.882367Z digest=sha256:fc181fb01d4ef656bf6adfa7c639664ed9f4c27a412889acbce0741d63518d25

Observation 5524e683-4aa7-4b6f-83ea-c03ea3984f26 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

Introspection of Thought Helps AI Agents LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.886114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.886114Z digest=sha256:9667b54074e7e0bc1dd45c3d1d01aa41745d8485424e3b03627887cfa1f80c69

Observation 8c8a3027-fe41-4a9e-93a3-893590608b0a · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Introspection of Thought Helps AI Agents Multimodal Chain-of-Thought Reasoning in Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.893076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.893076Z digest=sha256:57835c4800b6bb806130a8d47424e2ca921dc7f279255d9acd2b652a153e0e48

Observation 479643d0-b1d8-4d5c-9922-2bab8aad5361 · outbound

This paper cites Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models.

Introspection of Thought Helps AI Agents Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.899493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.899493Z digest=sha256:a7d3b97e4941f52d48d70bd78159b29f99ddd41736c39b875fe47d2fd94ac481

Observation edd0fbe2-8f02-4376-8d73-19cef55b85b8 · outbound

This paper cites Agents: An Open-source Framework for Autonomous Language Agents.

Introspection of Thought Helps AI Agents Agents: An Open-source Framework for Autonomous Language Agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.908879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.908879Z digest=sha256:3ea47ccfc8a5abb1e7cb148ffae88b595724d8ca02a07245b01919ae7da4480b

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This paper cites URL https://www.kaggle.

Introspection of Thought Helps AI Agents URL https://www.kaggle

Reference 2024

Resolution
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Source-reported events for the cited work

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Pith citing papers

Observation 045e0286-d198-4646-8ffc-1ab07ecf39d9 · inbound

A Novel Self-Evolution Framework for Large Language Models cites this paper.

A Novel Self-Evolution Framework for Large Language Models Introspection of Thought Helps AI Agents

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f33b3faf-0178-4336-88d6-54b15dfb402f · inbound

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models cites this paper.

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models Introspection of Thought Helps AI Agents

Reference 10

Resolution
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