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Paper Citation Record · LEDGER

Introspection of Thought Helps AI Agents

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.670349Z digest=sha256:cef38bc3ec1ab370324974456a36492d41a14cc5b14c99f0c439d2e4ddee0f90

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:aad8cfb03c6b1f8e0fd5b94428d641f78b3b433e4312af4ebaa2e790c112c56f

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=sha256:6ab0bce6e4c20d6c260dd48800bef62d3350e1095c08ea402687fc9a77bf719a

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=sha256:1c5216a97b2178af66adf364d785c9b0f84b28ec30212336e01090bfb67620cf

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=sha256:4924098c02faaa2c2638d5683f6e6148e5a12bbf5a6ce7b3e75e099e65eb6728

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.697841Z digest=sha256:0ff6fa3db4bc763c92e9f758f996a710842e8e084f51c9b50c5a0cec561a487e

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=sha256:015d452be380aa7e58b71ccb1365f113497654c4a1ae24ad341f32fa84984bb0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.707083Z digest=sha256:2260a2aab3f038d0bd23f349f0b045863d82e3a39ec4f7a997150c41ee8a368e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.714374Z digest=sha256:ab57afc9b7e9dec3f02f6266e3aedc52c8d6043c06dd869e62b31d02d69fc57e

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=sha256:8e8d79fa253ac046876c282ecb890f1a033ad5e49d76c69f92aa03b770399462

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:f730c05e3f1b3888139eb4a7a749dfdf1e7c38b20dc1112b09a23d68719f966a

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=sha256:2bac5725f13b1520d9fbb1fffca247c596140d3969d219156b4bd830a94e4246

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.747109Z digest=sha256:e5965d932ebcc7040c46e8457c792e1d51226c3cacf2535d05ccc0e9788deb36

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=sha256:24eff1fc1eba9ce8d07405d3d6f37494d0b06184ba66eb80f131113a254406a2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.755839Z digest=sha256:bdba93c944d6f5795a87359851c226ecb82f727446dca84856d1126992b92881

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.759608Z digest=sha256:ff3b25d39f43878d7ecb4db4897aac994af291a00251befa6500632dbc927c2b

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=sha256:712414989650f00aa5a83707a0cfd293d7b059dc84ffd11a9e68f6e7bf15c006

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:a078bd20a861bd69b5125a392f5bd9144ccf4f4b9c822ecba23b870ef54bfec8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.769867Z digest=sha256:da46b6f349ab3de984d60f185a243503b2ef24b8328d5c99471f65da6b85bb8e

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=sha256:64f7bc8b2591d03d13d4e1248c3e739f8326f938eca14965e7478cc5992b030a

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:d284fbacc6377c559a9ce2236b4e206ef8b90d75cc24ddb9c0f825b25ee8c2ac

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.827773Z digest=sha256:23596002996148e6aff3a302c0969f38bea9da44b352025729f67929cadae609

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.830620Z digest=sha256:af6ec1e95a0365ea031b42d5f23e655082c7facaee519a0e5e23ecd11e57e9e6

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=sha256:817501f26c58e7b94701fea8ab5728041b91fa0bc4ab6cdc3af588788252dc13

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.840312Z digest=sha256:a9e1e230574e1a387d926910333dda16a1e433584ff52823699b7a57e44b291e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.843787Z digest=sha256:2e5ff382a1f576caa98b2e05e9e32bd9ba494c31995c5bea3d13c02d75015e94

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:e49d4c39d61c3aed4744530ef57b3e1e417aed669af7636455f8a8578ff206fc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.851969Z digest=sha256:f1a39384374d4e443c47e98c92663cd81fc156d474a501a2c869006c37f92ad5

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:bc4128e62607ce960643f034ecd10dcb36d01b8af412db846e4b0dab3247d8f1

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=sha256:68e5a66184fb0242f10df8b71368226788493b21239f34609deea2a6d32c155a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.860268Z digest=sha256:010d226ed6de684ffbc013de8942c225ba441f81edcd122e3ab2a435265b2820

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=sha256:35d7520ff24bf1a0964b915d41692d3e42776d5b33bdefcc8d13366ed9ea08be

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:19:58.879010Z digest=sha256:a84dd5e740cf3d4dde43bd47ff33dabaa0ca093f6f1e474c0cdb2a3f503fb931

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=sha256:1eece113d6321f5c5c0b38c1e5cfd29b7c6c6aaf86ad59649f484c624c1eb040

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=sha256:501435e2643347f9c3e95727580d70cc76fd02b2f8f46bb2fdfa716a9e28c5e4

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=sha256:10f3138f0f7c924681a701e21eb4ddb7482be85ee1102e99a5a448a13e74344b

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=sha256:54048d3bc69b53cd53fdf69541e2ebe158950eb29d8d9b9bffb9f5bc1b639a91

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.

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Observation 634df6cf-f27a-4cf2-840c-85108ea846d1 · outbound

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

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

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.718198Z

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

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unresolved
no resolver link, observed 2026-08-06T15:40:34.560606Z

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
verified exact
local_arxiv, observed 2026-08-06T14:51:54.094232Z

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.

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