Pith. sign in

Paper Citation Record · LEDGER

Introspection of Thought Helps AI Agents

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.670349Z digest=sha256:8424199f95fb2f1739d95e37a6c4422a4e33b53c4702dbb6b1df1ad66be5fd2a

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:a4d8b23a758eae944a2c56251c5cd9ae3f67f48cd2055e82297df12844b09a11

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:e233ccd96eb45a7f615c225d821b7de0301b4824a4f928d0ce7f647870df4fab

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=sha256:1c9b05db5e3726b9df61b16511210b242b09089033b07a11560ed8e6395647d2

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=sha256:45942c94d4123179e32260c6dc58932aa21861e88b6e5db35f284fbac2e6ec28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.697841Z digest=sha256:21c3d713464cb4433549fc20f9f4e093b0ff187b461851ee547ff3a377ae9df5

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:d881c35c2c30ef10a55744630e87fbb6dac4135b2e2b1819fcde95bc8a63c90b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.707083Z digest=sha256:f8b1daefbda3c11bb1fac1081f5f6eaa5618a2c6157b6424cb2bd7eaff323ed2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.714374Z digest=sha256:68c7cca8ccbb87849528b87971a08206fa1c4b05aa24696017a85d7e1b0736ef

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=sha256:28a3c817d81c37039c5b1680daa42acb96dfe70583ecfda65b1142c671c1add5

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=sha256:7f6cc0cb9e7665bc51dc6469a5016724fb199fee925096398d30fb9a7a00ab8b

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=sha256:13890b040756fcfe540dfba6ddc6f9f8017f4b21b2d860db7f9547c62fb0a437

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.747109Z digest=sha256:a9228f175caa7bc32c659c62606a95156066432557e667a53b48236405c89d78

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=sha256:3c17d9bf37fd1b5c729897f8f58794710045cd7a4a1e00e8ce09e384590b9c8a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.755839Z digest=sha256:0780f00db7e80e8bfaa2fd316e2682329effab31e3ea94e6f47740a3df0f5ce3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.759608Z digest=sha256:76c8d571846c697d876a4fb056a65fd305b9816946905ae2de013acc23b2b107

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=sha256:2d90ad005b34df7b197128ca2993833fd04d9f964539422621aa1da2c8886136

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=sha256:517242cf19462a7031756bb1e6b48f7ecc9405b65af2b388029d518bf0419793

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.769867Z digest=sha256:7108fb5d4d50458b0750f6356dceb64c782e18bcd534dafa7fee5716bd80d31c

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=sha256:1bd6982670c7f605af962881bbe17b1f2437f955bf26510858c263065f4af1e1

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=sha256:34eb15e787ce1f1104200ce9523680dfe4e7a411b305390a8fc82a539a7e1acc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.827773Z digest=sha256:c61bb9b6f88677c90a28d43c932d47a81e4b8914833ee69f17cde29a27b8339f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.830620Z digest=sha256:d6b367c810f21172c4576956ee26eed198f3b4ca37eb2db7c2173ab1ec412a89

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:dc4316196fb44de49e694ed2f308e31fe58fd3e9d50692246f0f2bfee2185344

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.840312Z digest=sha256:56c9462cc920bea5f585729a6975c082501a62453d30e11ea1c2d144ff00ceaa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.843787Z digest=sha256:6723ce72f978780dbfb3fbc885ffbe6caba9da582ba78aab8f6211d9b8aa81a5

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=sha256:40c8d0ae555f020d675dc163a6d7db890cf32d0c94f48f1a6fb1ab773f600905

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.851969Z digest=sha256:374b4a7430dc28171e5f68336e22028a38987e7f7db548187643802ba5fbf585

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=sha256:802f764fc0bda716f4cbc0d7c1e80c226c9c09f1262e3af800a9f418e8065c16

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:e970350b93d6364f118aa38942fff7ef391959d62aae73e007bf25beada93e92

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.860268Z digest=sha256:ba0e1ca918345a18494f22ba163ae3f34d35142535f83c0f87d64c949c0fa48a

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:fa9657a5a8087e2e06365d437d55ccc8c74b09642033ecd9160cad527acc4035

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:19:58.879010Z digest=sha256:b0df8970717f7fe1549353b8d8c4a8204d37f47f30aab03936121f998f0b20b8

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:b6c335a27b6ead85b32d8069b8b791662332d0608016aa13e36c215bc777f3a7

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=sha256:0be5d1c37f7e37529a6ad882abaadc71bdc0ac96c55d00a1c8678062b819c320

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:ff394bdc62c0cc30897649a519ebb4a7df13955e4655c9ba3ba539879410ad78

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=sha256:7e6cee25dabba9ae5d150201b31b2af885f9aaaaec46354eeb62c80573ce564e

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:d2e1ed4569af7f355b512561a7f6874f255cfffe88041387d1b5e275a56e2ece

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.718198Z digest=sha256:2d0df734fdaf4db93f197e90c11934c98b34eac877e488fa266c4e08e0d18037

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:40:34.560606Z digest=sha256:e8128172339bd7f1dc200a255f74599db2bee4332aeda208bb644d9c61405673

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:51:53.921963Z digest=sha256:fbe6a79941a8d6a0cb1e9b7b1f8dba30b3ae3683e2638815cf8fb1a6887b36f3