Pith. sign in

Paper Citation Record · LEDGER

Talk like a Graph: Encoding Graphs for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2310.04560.

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

pith.paper-citation-record.v1
2310.04560 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 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 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:02.027496Z

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

13
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 cbb381d0-a935-4b4f-b073-82a13ad5a1bd · inbound

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

Retrieval-Augmented Generation with Graphs (GraphRAG) Talk like a Graph: Encoding Graphs for Large Language Models

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.273396Z

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=sha256:0d466fb54347b60a5f84e69e9aec14ac739fd8ae4781a1278dd4c242b84d8ffd

Observation da20450c-9608-4e1f-87dd-e08c14c8cf7b · inbound

Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models cites this paper.

Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models Talk like a Graph: Encoding Graphs for Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:37:32.010365Z

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=2026-05-23T04:36:06.247071Z digest=sha256:e5ba988edd6c1f72fe1f538814d9254163d8864edd7b2106bc71e848d4121150

Observation 22914956-008d-4a65-b9f6-e8ba5683db7c · inbound

G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning cites this paper.

G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning Talk like a Graph: Encoding Graphs for Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:02.027496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:02.027496Z digest=sha256:9304d4f26175ebecd6dc6623a1850d298417487b4f9fd309b54bae3d932a27f0

Observation 6d0b37d1-d721-4909-a798-65a0ceda5f8e · inbound

DistRAG: Towards Distance-Based Spatial Reasoning in LLMs cites this paper.

DistRAG: Towards Distance-Based Spatial Reasoning in LLMs Talk like a Graph: Encoding Graphs for Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T11:07:54.957481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:54.957481Z digest=sha256:071b4b79c7656991f9d407df6d1a8a3aa9416015e66a20fa9f06bddb3cb3e214

Observation 539965fb-7e39-4feb-9d3b-345880d6cb6d · inbound

Are Large Language Models Good Temporal Graph Learners? cites this paper.

Are Large Language Models Good Temporal Graph Learners? Talk like a Graph: Encoding Graphs for Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:09:40.500118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:09:40.500118Z digest=sha256:95c842b0206cd89d338f49f0c187199e7d49ef18df38a59ccac77a489af77bdd

Observation f9e097b5-2808-4588-b28c-c23690e3e36e · inbound

Enhancing LLM Agent Safety via Causal Influence Prompting cites this paper.

Enhancing LLM Agent Safety via Causal Influence Prompting Talk like a Graph: Encoding Graphs for Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.843692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.843692Z digest=sha256:00fe57b081ee4bc5de7f63ae350431bf701298bd630fbb722ec98da3546adf4b

Observation fe4788c2-febe-4319-8b40-71b3aa174086 · inbound

Graph Repairs with Large Language Models: An Empirical Study cites this paper.

Graph Repairs with Large Language Models: An Empirical Study Talk like a Graph: Encoding Graphs for Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:40.107131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:40.107131Z digest=sha256:eeb439673efe26c3a47890f65ad694dc10c399b57ac5a1f596ec0178b66c50ee

Observation dd8a4f4d-350d-428d-a502-d3525614938c · inbound

Modeling Code: Is Text All You Need? cites this paper.

Modeling Code: Is Text All You Need? Talk like a Graph: Encoding Graphs for Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.190207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.190207Z digest=sha256:607b7713880c0558866181b0110af4a20bfe83f7568176b1f67f53c3db1d0ba6

Observation edfc6670-6f87-4658-9afe-279e5059932b · inbound

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs cites this paper.

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs Talk like a Graph: Encoding Graphs for Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:57:02.959443Z

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=2026-05-19T03:55:56.563517Z digest=sha256:6138e42b0e76f3e893e66e1d9a69e0a320da00e800016ae5d33f8782cb6d58ab

Observation 5bb9d5e6-9213-4690-89fa-bf0a03997f47 · inbound

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs cites this paper.

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs Talk like a Graph: Encoding Graphs for Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T12:36:02.023200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:36:02.023200Z digest=sha256:ca0f0a9732403d8fbeb8b583d49f02429029633d094e5ad93e1d0748961f08e2

Observation 14dbac51-19f7-413a-bd21-4a2dff8f167c · inbound

LLMs Between the Nodes: Community Discovery Beyond Vectors cites this paper.

LLMs Between the Nodes: Community Discovery Beyond Vectors Talk like a Graph: Encoding Graphs for Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T11:59:51.481949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:59:51.481949Z digest=sha256:5da868da3340ca892efa5875ce8a57697a6faf668a58da1076ecc4a46c76a399

Observation c3ab1004-7899-47af-a827-4fe81b49e719 · inbound

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs cites this paper.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Talk like a Graph: Encoding Graphs for Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T20:28:21.264767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:28:21.264767Z digest=sha256:4b042a25d583e227f7468b6275b2f364d6057780a810524ba07c61fbead884c8

Observation 5669834d-477a-40f5-9299-06a981bffcfd · inbound

REBot: From RAG to CatRAG with Semantic Enrichment and Graph Routing cites this paper.

REBot: From RAG to CatRAG with Semantic Enrichment and Graph Routing Talk like a Graph: Encoding Graphs for Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T12:53:27.089178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:53:27.089178Z digest=sha256:378ed7e4397ea53b87ec73c22e0f48ed37c4f7557a78e5605941551f910a2f7c

Observation ca3542dc-d5cb-4d7f-b518-153c6b315be9 · inbound

Lost in Serialization: Invariance and Generalization of LLM Graph Reasoners cites this paper.

Lost in Serialization: Invariance and Generalization of LLM Graph Reasoners Talk like a Graph: Encoding Graphs for Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T22:31:35.757145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:31:35.757145Z digest=sha256:63e0c875f474978f600e389e45a64eb7c144251648bfa45fa7bc178064779e8f

Observation fa20f041-5f10-4766-a7c2-57b25e23c3b6 · inbound

GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning cites this paper.

GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning Talk like a Graph: Encoding Graphs for Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:27:31.602468Z

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=2026-05-16T07:25:35.324582Z digest=sha256:5a59553e97362c93a8c7801ac4e6c5bb1948d0905ca4e011d4dad39c33112a56

Observation c5b819b5-4519-4869-8d86-1584958fbfe2 · inbound

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning cites this paper.

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning Talk like a Graph: Encoding Graphs for Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:50:17.011207Z

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=2026-05-15T18:47:06.207176Z digest=sha256:24c4471cc34c9260558ccb04a7c075d4789d74455d77235efc2dd20d13698788

Observation fb2d2d0a-2715-4cbc-a14f-0f381d3514da · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Talk like a Graph: Encoding Graphs for Large Language Models

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:56:11.511099Z

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=2026-05-10T05:43:04.813867Z digest=sha256:814b0fcb954f647975b197c2cc61d6d307f71f5a6a0df40fa7a275a290609af0

Observation d58fba64-f44c-4846-b7ef-0a808e93be01 · inbound

Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference cites this paper.

Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference Talk like a Graph: Encoding Graphs for Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:41:02.081384Z

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=2026-05-10T05:38:47.331134Z digest=sha256:1508ec74732c5afe54cb1f05d22a34360a8e813b31b137b15c0dabb6235f7fa0

Observation be93c783-e0b1-40d6-be4b-7240fe3a07a3 · inbound

Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD cites this paper.

Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD Talk like a Graph: Encoding Graphs for Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:35:33.709967Z

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=2026-07-01T08:28:26.970401Z digest=sha256:f03e63b62e0361584662f5287969f78dad65a0724009584c1de8160e74e12228

Observation 8d2bc04e-9ee6-47be-a34a-04439331ce81 · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Talk like a Graph: Encoding Graphs for Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:13:57.989326Z

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=2026-05-09T15:09:03.417040Z digest=sha256:9b54dd2b5ca44f2042d9155508f332183a7b2d61621f72c9ba7025846d0bc1ee

Observation a28e910c-3ad3-447b-bd6d-2041595cfec3 · inbound

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning cites this paper.

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning Talk like a Graph: Encoding Graphs for Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:52.274100Z

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=2026-05-11T01:28:40.639431Z digest=sha256:34b7f6e6c9dfbe69578438590c21b06e755697fbfa3dca6b7b213c077de7de92

Observation b63b002f-3a1f-468b-81dd-092d255285e4 · inbound

LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation cites this paper.

LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation Talk like a Graph: Encoding Graphs for Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:54.768408Z

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=2026-05-11T02:15:18.274343Z digest=sha256:307cfcff82483416ad6cc0bf248c394eac4778b5ac40df609ff237bdff27d150

Observation 2dc720ac-5b20-4343-a81a-ed3495d41eb1 · inbound

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers cites this paper.

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers Talk like a Graph: Encoding Graphs for Large Language Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T07:04:41.435358Z

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=2026-05-22T07:03:52.438466Z digest=sha256:f6fe64d00e660286abf68bfa19ddd6247f86f1a5e4e023fc5d6b83752197ea87

Observation 4461193a-b17c-45bc-98c1-5d174605f41d · inbound

The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning cites this paper.

The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning Talk like a Graph: Encoding Graphs for Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:36:08.344470Z

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=2026-06-28T22:23:24.536258Z digest=sha256:52633169fc8a8a6b9edf309068ac3c004cd8a7adb3879e3f739b5f252837fc5e

Observation 0d8281fb-4af9-4522-acc0-4553328366a2 · inbound

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs cites this paper.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Talk like a Graph: Encoding Graphs for Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:57:47.497699Z

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=2026-06-27T10:41:37.290485Z digest=sha256:2fa275bc5c2a17fe914146cad0f676eb552d609e1e6103bb538e7dbf94b86977

Observation 36273d3f-abea-4408-8229-245e8f7525b4 · inbound

C-RE-ACT: Causal RE-ACTing Agent for O-RAN Forensic Triage cites this paper.

C-RE-ACT: Causal RE-ACTing Agent for O-RAN Forensic Triage Talk like a Graph: Encoding Graphs for Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T01:26:39.196694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:26:39.196694Z digest=sha256:b0dae3f13d1f9f4d6b18d26eb93ab32f6fa2f8fea9e2aee434ea1b08fd44e777