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Paper Citation Record · LEDGER

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2407.10805.

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

pith.paper-citation-record.v1
2407.10805 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:36.096469Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d469cd77-5360-4b39-be0c-ab0e9fc5e841 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 278

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.781476Z

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=2026-05-18T04:33:39.076517Z digest=sha256:446c8ff2f447a0669d716b61278526578c0329a7a47dc44b864b3c378a3e8e40

Observation 03e6b4ee-614f-4a06-9b62-8e656f744de0 · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:32:28.652259Z

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=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:bf866fdf32aadf01577c1dddf029ecee3bacd90406b7585d1e31dd5e17a4c134

Observation 68ee5685-dd9e-48cb-b073-da7e5ecf13eb · inbound

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks cites this paper.

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:36.096469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:36.096469Z digest=sha256:abb16a54ff27d87c571a54afbe9bab068cd77665daa6b1fbfa90de347b74cac4

Observation 6e0f51af-416b-4456-b823-d4ba5c9a9287 · inbound

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation cites this paper.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:56.766660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:56.766660Z digest=sha256:d3ad64b58b0ecd2c3daaedaa5c48d614706c28f3c13911ce6d4ff016717ffdfa

Observation e77b66fe-49ae-43d7-9076-51ccb987454b · inbound

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking cites this paper.

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:09.418153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:40:09.418153Z digest=sha256:3fa34fd5bfe4b74e633f6eeeb1f098f89fcc40836713367007890f404eac873b

Observation bc272e87-0bbb-4186-ab94-2e17387b5b68 · inbound

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies cites this paper.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T04:48:08.680583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:48:08.680583Z digest=sha256:b141835254bae76dfdf77f0107bc39bf81d3cd030186e1edce90ae861a7b692e

Observation 11f28cf7-1b54-492e-b3ea-35277df19a36 · inbound

XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation cites this paper.

XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:57.026254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:10:57.026254Z digest=sha256:10e57388ca01b5ad615af277a164bfd1d115eae1cc1bb829d94962dc5499f2e8

Observation 30105193-f17d-483a-b40a-88c20b43adf6 · inbound

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA cites this paper.

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:55:54.126353Z

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=2026-05-18T04:55:03.309430Z digest=sha256:affb9f5f10119358a5d7455b7eaadde287fe1828a5aa48b6170459481abde101

Observation c36c8717-5cda-4ccb-9be6-4d13d2f1e037 · inbound

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework cites this paper.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:47.103675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:33:47.103675Z digest=sha256:54b56f3b1455d6010f2bd738f13e0c4894f9c9e7ae8ed11f397843b92cdf94ab

Observation 444242c6-0f67-4e67-bc4a-2eced48693ec · inbound

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments cites this paper.

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:59:58.997784Z

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=2026-05-21T09:55:17.236296Z digest=sha256:111ca7cf33888d869462b410490930c9fa8e7be3bc00ada0c9e3f9cc3b5eba24

Observation 5ffcb8d0-6b0b-4465-aefe-c8ae3a7d52a9 · inbound

GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing cites this paper.

GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:51.194685Z

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=2026-05-10T19:13:30.400059Z digest=sha256:0fb80ad11e3b8433a7697df2f02a5e44602ee5c38765304f027154be2369b435

Observation 997a5caa-6224-455e-aa62-ea4c4ac70bec · inbound

From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI cites this paper.

From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:35:51.111860Z

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=2026-05-10T18:26:16.639817Z digest=sha256:449f0306ce23bc5176afa3b2ba8bde9d4d0aae15ee520fddaef548f590db44c8

Observation 57552569-a4b5-4b8a-a12f-3e79abaf95b5 · inbound

TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering cites this paper.

TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:51:03.083899Z

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=2026-05-10T15:17:59.538800Z digest=sha256:60b8a032b0a8a110682d8bf674447e87112b1c6405c4f3561ff863af087c4ff1

Observation af5eec32-1f87-4755-9952-efa622703589 · inbound

Position: How can Graphs Help Large Language Models? cites this paper.

Position: How can Graphs Help Large Language Models? Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:10:42.830741Z

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=2026-05-08T18:48:03.257015Z digest=sha256:fd5ebc9a11d20999efa5701b578688998d1df203dca974c4e25408d0f18b87c1

Observation b8d36150-957b-403f-a48b-672b3056e843 · inbound

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? cites this paper.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T17:03:40.902323Z

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=2026-06-29T16:59:50.113957Z digest=sha256:720a920ee21583ac9938d864475e01d8b2fd0fae1eb0406145972c76036b2f0b

Observation 65901d65-e82f-4ba6-aa2e-5bdc6ccde633 · inbound

A Unified Framework for Context-Aware and Relation-Aware Graph Retrieval-Augmented Generation cites this paper.

A Unified Framework for Context-Aware and Relation-Aware Graph Retrieval-Augmented Generation Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:28:55.950083Z

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=2026-06-27T01:17:21.685012Z digest=sha256:c0dd6da269c51a9e826dfe71e4efde3bd0c8edfc515fefc55bedd21005f01da2

Observation 19b6cf2f-10c9-40d4-bd64-48117c3725fe · inbound

ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph cites this paper.

ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-26T08:39:14.798851Z

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=2026-06-26T08:37:59.374023Z digest=sha256:5338edca1297e6c51d63a413c36a20aed37907e7da3891548936ff23f902a0f7

Observation c7dc75b1-67d0-4cd7-b547-4cc6dd5bf365 · inbound

Harness-G: A Graph-Structured Harness for Search Agents cites this paper.

Harness-G: A Graph-Structured Harness for Search Agents Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T04:03:36.205700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:03:36.205700Z digest=sha256:b7fa5f8940238dbe57b94dc4e066ba0c0ce411e9e8b0229c7361a7d4d69d79eb

Observation 68703ce8-9701-41fe-94f6-15ac48102ef3 · inbound

Harness-G: A Graph-Structured Harness for Search Agents cites this paper.

Harness-G: A Graph-Structured Harness for Search Agents Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T01:23:36.225021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:23:36.225021Z digest=sha256:58a04186b845f381a4659135496e5617f192f93450d58e63986b750d03517c98