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Paper Citation Record · LEDGER

GraphAgent: Agentic Graph Language Assistant

As of 15 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2412.17029.

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

pith.paper-citation-record.v1
2412.17029 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:56:03.977881Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:26:53.248472Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:26:55.709250Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy40
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a71612e-2b26-490f-ab2f-b6c8c3e2d0c9 · outbound

This paper cites write newline.

GraphAgent: Agentic Graph Language Assistant write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.662379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.662379Z digest=sha256:698cae2a80dad9f5fbfe278ac22fc9c7c16b4489b902706912d1e0b2e0a3e16e

Observation 4100f588-1ad6-49f7-babb-402ed5e1e4b2 · outbound

This paper cites Curriculum learning.

GraphAgent: Agentic Graph Language Assistant Curriculum learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.211176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.669357Z digest=sha256:2d5a1fac7236172c16c5d1bce34f81c1211245e2f27632e87486634374ab1dbb

Observation 9fe36266-8bb1-444f-993b-5e1ed344a271 · outbound

This paper cites Edgi: Equivariant diffusion for planning with embodied agents.

GraphAgent: Agentic Graph Language Assistant Edgi: Equivariant diffusion for planning with embodied agents

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.192339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.675922Z digest=sha256:4badee369c5c140c87580570b041b218160af114c86c57b1a64f68859f329cce

Observation fabdf366-2d2c-4e97-8407-0e14de982bb1 · outbound

This paper cites Web-scale academic name disambiguation: the whoiswho benchmark, leaderboard, and toolkit.

GraphAgent: Agentic Graph Language Assistant Web-scale academic name disambiguation: the whoiswho benchmark, leaderboard, and toolkit

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.173874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.682443Z digest=sha256:fcb30a8d99dccab4148046369699e9260977399ecd602c4f5dbfdc295b999cf8

Observation ef7594b4-fa0c-48a5-bbcb-35a96ed5b2d4 · outbound

This paper cites Simple and deep graph convolutional networks.

GraphAgent: Agentic Graph Language Assistant Simple and deep graph convolutional networks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.156109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.688506Z digest=sha256:2bec9a8135571dfa8f745ef31928c47f0fa2a967c365b0c8ac6ddacec8a65198

Observation 43139ace-4e54-4e77-8474-295b8d123612 · outbound

This paper cites Llaga: Large language and graph assistant.

GraphAgent: Agentic Graph Language Assistant Llaga: Large language and graph assistant

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.135728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.694089Z digest=sha256:06b54164ca7949a01ae092052959a1cd6c6935d5a99222e9b427171989ab546b

Observation c95c6db2-cf9c-49d2-88dc-5ad0294fb7b2 · outbound

This paper cites Llaga: Large language and graph assistant.

GraphAgent: Agentic Graph Language Assistant Llaga: Large language and graph assistant

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.117343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.699511Z digest=sha256:72047c6d7317a6c24449b1afbc74cf3035d0f7634a09e419050bf5c65eb6a380

Observation 79cc1d9a-d8d9-4cc5-9e37-72b91f38561c · outbound

This paper cites Towards robust graph neural networks for noisy graphs with sparse labels.

GraphAgent: Agentic Graph Language Assistant Towards robust graph neural networks for noisy graphs with sparse labels

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.100313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.707634Z digest=sha256:6a3cda3f8d9154586ebe6b7d89b1b4f14243f723a36663dd972d6a9ec4515259

Observation 3b19e5e0-b695-41ec-b567-bd93332c0cee · outbound

This paper cites Benchmarking graph neural networks.

GraphAgent: Agentic Graph Language Assistant Benchmarking graph neural networks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.082017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.713133Z digest=sha256:eeb516d38ad210095eb260a310456d9da58f1b15c15cbb9c422ef26edfb20192

Observation 93f16338-eb57-4483-9d87-3beddb095fc9 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

GraphAgent: Agentic Graph Language Assistant Fast Graph Representation Learning with PyTorch Geometric

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.718532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.718532Z digest=sha256:1d6e5d807821cb03be9e0fa7100849cc62bf834fb82ddb59d862b4cbd1e9f023

Observation 1ac4cc63-daa5-4883-a5a2-f8464312953c · outbound

This paper cites Relational Deep Learning: Graph Representation Learning on Relational Databases.

GraphAgent: Agentic Graph Language Assistant Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.725267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.725267Z digest=sha256:1c36252897d9387ba8c2c70443ba0c071e8808b95fca467913bdb2085c997ec9

Observation 2584602b-e2e5-4887-8cc1-bd0345c886ca · outbound

This paper cites Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding.

GraphAgent: Agentic Graph Language Assistant Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.064782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.731338Z digest=sha256:f5ced56d67f317cb3543f864b0251f8e34860f433f24c5d7ffb809364889fad1

Observation 6f76b94f-8177-40de-a092-21ed113da6a2 · outbound

This paper cites Graph representation learning.

GraphAgent: Agentic Graph Language Assistant Graph representation learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.736619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.736619Z digest=sha256:50b528a6356d6abbda07e2cb4026369b09167e03114f98520a364f15534cd128

Observation 68d8fc78-ad31-4706-ba76-790f05d15df9 · outbound

This paper cites Hamilton, Zhitao Ying, and Jure Leskovec.

GraphAgent: Agentic Graph Language Assistant Hamilton, Zhitao Ying, and Jure Leskovec

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.032217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.742109Z digest=sha256:f4dff944174b74b549dd52b4e623a9c0a9f562a201fbe40e0264225d5339dc9e

Observation b7657e57-7bd3-4dff-9fe4-a713c857eaac · outbound

This paper cites Gat-mf: Graph attention mean field for very large scale multi-agent reinforcement learning.

GraphAgent: Agentic Graph Language Assistant Gat-mf: Graph attention mean field for very large scale multi-agent reinforcement learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:05.012618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.747188Z digest=sha256:acfabee13d03facf73204236d4b2dc292a8cafa89417651c8ec338f401c95973

Observation 17e79646-3c08-4682-b5d1-3870182be547 · outbound

This paper cites Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.

GraphAgent: Agentic Graph Language Assistant Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.752386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.752386Z digest=sha256:f73fc70944960fb382cd0a5ba1f1c37c6e7eec56eb3848699908b5174fcfcb61

Observation 15b6ba6b-6495-4fc6-ae6a-c11b41c96526 · outbound

This paper cites Cogagent: A visual language model for gui agents.

GraphAgent: Agentic Graph Language Assistant Cogagent: A visual language model for gui agents

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.993934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.757878Z digest=sha256:3fb27a16030404c342ee75bbc61c14767b1d001ec87bdd274125944ddea8a00c

Observation bf33693e-5715-4f86-8415-52f1410cf2e4 · outbound

This paper cites Heterogeneous graph transformer.

GraphAgent: Agentic Graph Language Assistant Heterogeneous graph transformer

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.975974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.763567Z digest=sha256:72e8ead57d44e5801c43b2ff767c2477773b7f125424f782a9d978a0571e596d

Observation 3a681f35-83d5-4bf1-b5e0-300991a6104e · outbound

This paper cites Uncertainty quantification over graph with conformalized graph neural networks.

GraphAgent: Agentic Graph Language Assistant Uncertainty quantification over graph with conformalized graph neural networks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.958405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.768633Z digest=sha256:22fdb3e78139c8b788517b1152bf137b07587055bc3c202c4478de9cd6f3aa4b

Observation 60e29136-f75c-4cf1-828c-76a0f9baefb2 · outbound

This paper cites Grounded decoding: Guiding text generation with grounded models for embodied agents.

GraphAgent: Agentic Graph Language Assistant Grounded decoding: Guiding text generation with grounded models for embodied agents

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.939124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.775676Z digest=sha256:a5fd883c4055f0ce0b7ef9d0b3ceec989f396f655b584b8a5b44740000c994b2

Observation ddb13453-7a78-47ca-9b87-42b8fab416c5 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? In ICLR, 2024.

GraphAgent: Agentic Graph Language Assistant Swe-bench: Can language models resolve real-world github issues? In ICLR, 2024

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.781684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.781684Z digest=sha256:c3cb65accb40de5754f2b72a09de5e444699b47d47ef2f06190e48f3ddffe060

Observation 4172f921-438e-4dec-bd8b-4029703f4169 · outbound

This paper cites Graph structure learning for robust graph neural networks.

GraphAgent: Agentic Graph Language Assistant Graph structure learning for robust graph neural networks

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.906326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.786837Z digest=sha256:1b49f2f2e0e264973ea6010d405425a76fafa4052f0f0dd85ce1023274224923

Observation 940d6c1b-6fb2-4306-a1ce-a20098d94270 · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

GraphAgent: Agentic Graph Language Assistant Semi-supervised classification with graph convolutional networks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.791949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.791949Z digest=sha256:16452c97b1f01c3d0205411ecba71fc9f0a2827e737b11da033aa90a9e20a703

Observation e5e8252e-ea7a-4d1a-b9ea-fd1dd635ab51 · outbound

This paper cites Visualwebarena: Evaluating multimodal agents on realistic visual web tasks.

GraphAgent: Agentic Graph Language Assistant Visualwebarena: Evaluating multimodal agents on realistic visual web tasks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.876215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.796568Z digest=sha256:f050eb77741a3df02de69104186e188d547f9d1c6f1fef205a3c8c1f4d6c19b9

Observation 43d50890-d9fc-47c4-add6-842a6092aba7 · outbound

This paper cites Text is all you need: Learning language representations for sequential recommendation.

GraphAgent: Agentic Graph Language Assistant Text is all you need: Learning language representations for sequential recommendation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.856814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.801419Z digest=sha256:5bc7cb3ebfed6dc82114a8e675cd33826a7240727d64ae1e6f3bc05e07766587

Observation d6ea41c1-d647-4a24-a123-eaa7e5cef373 · outbound

This paper cites Zerog: Investigating cross-dataset zero-shot transferability in graphs.

GraphAgent: Agentic Graph Language Assistant Zerog: Investigating cross-dataset zero-shot transferability in graphs

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.837478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.806827Z digest=sha256:b7c790bb287e05acd5053a267ebfed3d438440ac12939156c62f1978c8b5c8c5

Observation efd011bc-1558-4db1-ae23-4e447cddfd50 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

GraphAgent: Agentic Graph Language Assistant Rouge: A package for automatic evaluation of summaries

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.812045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.812045Z digest=sha256:d80e74898096879b4249524baf29630bae14517e70fd060aeabb242d4f8b1afb

Observation 1d27e31a-261e-46d9-a45b-e762b258fd69 · outbound

This paper cites Visual instruction tuning.

GraphAgent: Agentic Graph Language Assistant Visual instruction tuning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.817388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.817388Z digest=sha256:a18f39fb95493bef0ae2994efb12a172b26682c41eb6ae1945cf48be68b24082

Observation 77c95761-3e0a-4186-af84-8f79300737d5 · outbound

This paper cites Revisiting graph contrastive learning from the perspective of graph spectrum.

GraphAgent: Agentic Graph Language Assistant Revisiting graph contrastive learning from the perspective of graph spectrum

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.796046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.822556Z digest=sha256:3b8eee7989bbeae4dbc9cb5c803662947fedb45c4de88c02280db8c73a206df1

Observation 8b85a6ea-fad8-411a-8b12-9d41eb06b5d9 · outbound

This paper cites Llmscore: Unveiling the power of large language models in text-to-image synthesis evaluation.

GraphAgent: Agentic Graph Language Assistant Llmscore: Unveiling the power of large language models in text-to-image synthesis evaluation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.606976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.832606Z digest=sha256:d656a00ee6d438408b5c08652aaa46e8c214b08bfcfa1fd95b20dd78427063ac

Observation 3b7d7926-74eb-45f0-b7ec-ca57a2efb841 · outbound

This paper cites Graph foundation models.

GraphAgent: Agentic Graph Language Assistant Graph foundation models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.588787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.837799Z digest=sha256:ec0e55e85117d4b7d645aee1c429940c0c9b7dfa70bd7ffb5cc027d76420cae7

Observation cb074a9a-7dae-4b29-9103-1c4eeff8b07d · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

GraphAgent: Agentic Graph Language Assistant Bleu: a method for automatic evaluation of machine translation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.566832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.843925Z digest=sha256:ea11b20f08fe824081e804a56b4714c37680082e9c4eee46c7c6de6656714735

Observation aa1b9cca-6dca-4bbe-a48f-67306bfe0923 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

GraphAgent: Agentic Graph Language Assistant Reflexion: Language agents with verbal reinforcement learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.546485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.849983Z digest=sha256:e7a96858b5dce072d8acfc5ae69bc29eaa573d851cf1aa217f4881c01b4a4b92

Observation 7c64cdc8-b9d5-44f0-ab40-14883965e795 · outbound

This paper cites A review-aware graph contrastive learning framework for recommendation.

GraphAgent: Agentic Graph Language Assistant A review-aware graph contrastive learning framework for recommendation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.529316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.856205Z digest=sha256:e25610320c9714320f908137674b397844d2b121fcdf37692dde1966011227a8

Observation 43b15cdd-8833-4f78-bb42-651676fd8ab2 · outbound

This paper cites Graphgpt: Graph instruction tuning for large language models.

GraphAgent: Agentic Graph Language Assistant Graphgpt: Graph instruction tuning for large language models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.511414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.861971Z digest=sha256:a4ecab4e79f6231148fd660342fb229db8928c89ed9309b23b7f6951d2d5b74c

Observation 87db8d7b-899e-44e2-82d9-967e0770d983 · outbound

This paper cites Higpt: Heterogeneous graph language model.

GraphAgent: Agentic Graph Language Assistant Higpt: Heterogeneous graph language model

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.491005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.867130Z digest=sha256:74c3a0cbcfac2e5c815f31b98f119e766b93c2ae566c40769554df6620872849

Observation 73a5a1e3-55c7-4d79-b80f-49bb1740988c · outbound

This paper cites Graph attention networks.

GraphAgent: Agentic Graph Language Assistant Graph attention networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.470976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.872195Z digest=sha256:3174a62fed0c889e589b07181027562d366743a5769da6e7dd0ce1acc7973ea9

Observation b92cbd58-1815-44a3-9d87-bd3e904c7576 · outbound

This paper cites Graph attention networks.

GraphAgent: Agentic Graph Language Assistant Graph attention networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.452843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.877429Z digest=sha256:c8b8ca8ba50726f623a4086489a52d4559e5b05a98d7c67b7616da83a069983f

Observation f740aa7d-d9ef-4141-9e78-512a2b4a1e25 · outbound

This paper cites Heterogeneous graph attention network.

GraphAgent: Agentic Graph Language Assistant Heterogeneous graph attention network

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.436491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.882141Z digest=sha256:d775ab88b1ebc2e461a4cb5bef46b26f947ac12aed344d60b9e4282a43d3b35f

Observation 0cbe24fc-db37-46b0-886a-e55940f62e6a · outbound

This paper cites Heterogeneous graph attention network.

GraphAgent: Agentic Graph Language Assistant Heterogeneous graph attention network

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.419857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.887166Z digest=sha256:3a70cfb172d0bb29d87c8d034401bdf8a5a2bc23f66ba4364ee3e5d1707f0626

Observation f1405f96-5a8b-4c85-9097-c828a19b6759 · outbound

This paper cites A survey on heterogeneous graph embedding: methods, techniques, applications and sources.

GraphAgent: Agentic Graph Language Assistant A survey on heterogeneous graph embedding: methods, techniques, applications and sources

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.402151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.891992Z digest=sha256:f30891ac3b0fad6cd039cbefd0b810e2435b885c851ecafaa1d0a214a1a86c35

Observation f784dfa1-6768-417b-84bf-66afca4797ff · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

GraphAgent: Agentic Graph Language Assistant Chain-of-thought prompting elicits reasoning in large language models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.896861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.896861Z digest=sha256:ae4600f70b7da85529290ccdfeeb67417a7f89721c08974149a0c5e22400e355

Observation 6fc64453-b86b-409a-9557-e3763aed2c36 · outbound

This paper cites Graph convolutional kernel machine versus graph convolutional networks.

GraphAgent: Agentic Graph Language Assistant Graph convolutional kernel machine versus graph convolutional networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.372093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.902343Z digest=sha256:a476f9adbeb4ad93e4f7dca57350d1024c08d3a645eb3b247e8528b8f2c53bb8

Observation fdf17c33-8016-4ff8-9ce7-057148dc9213 · outbound

This paper cites A comprehensive survey on graph neural networks.

GraphAgent: Agentic Graph Language Assistant A comprehensive survey on graph neural networks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.355185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.907175Z digest=sha256:74f62481b08822171894dd6ac2a3e033e5dc031054984ed7417f14de8b28750b

Observation 5eae998a-c5d6-45ff-a83b-2bacda4bc437 · outbound

This paper cites AnyGraph: Graph Foundation Model in the Wild.

GraphAgent: Agentic Graph Language Assistant AnyGraph: Graph Foundation Model in the Wild

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.912077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.912077Z digest=sha256:bf3f81788c1d9f535c7d675b5dd09e3ac58b6b6c84de7e67ecaa0b528b2d9d49

Observation 7ad73c4d-c2c7-4c6e-a4c7-2b46e61d6450 · outbound

This paper cites Openagents: An open platform for language agents in the wild.

GraphAgent: Agentic Graph Language Assistant Openagents: An open platform for language agents in the wild

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.336785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.917763Z digest=sha256:4058d23ffe2a43ced453b2423151aabf7528dc484f16d7505f401fd8d7076f15

Observation b096ae90-8339-4199-93a9-a67b566b8b8a · outbound

This paper cites Curriculum learning for natural language understanding.

GraphAgent: Agentic Graph Language Assistant Curriculum learning for natural language understanding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.318945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.923440Z digest=sha256:eb568b3a5b33a90201a18788cf2c1c9bdfcc99887e1f0da95c70fb522be92668

Observation 91268251-b562-4e19-9629-77d4e4291d1b · outbound

This paper cites Qwen2 Technical Report.

GraphAgent: Agentic Graph Language Assistant Qwen2 Technical Report

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.928451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.928451Z digest=sha256:646ed92d89ec5f98c6dd4c857319d5c569bfe75412c439f272ed3533abf8e08f

Observation afebdded-145f-44d0-8f27-866e7a36f43f · outbound

This paper cites Understanding negative sampling in graph representation learning.

GraphAgent: Agentic Graph Language Assistant Understanding negative sampling in graph representation learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.299974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.933386Z digest=sha256:857db3b3fda463328be7eac6ec4056af1d81b8959f665d74364aa2de7fd836cc

Observation d18614f2-3496-4b6d-8546-ccf0a4972be3 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

GraphAgent: Agentic Graph Language Assistant React: Synergizing reasoning and acting in language models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.938235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.938235Z digest=sha256:5696d56fec5178dae0d06bdaa8bd495910b05916fca6ac8a1cf8a48fd7405119

Observation 73d15a0e-7bc3-47d4-a600-d00296bbfd20 · outbound

This paper cites an unresolved cited work.

GraphAgent: Agentic Graph Language Assistant Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:56:04.265008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.945462Z digest=sha256:819c5d9949870f403c5b6498800da23ae03f6a4dca5f946db5cd69205205e710

Observation 1ff9d953-fc97-4b73-9210-499c844649b8 · outbound

This paper cites Graph attention multi-layer perceptron.

GraphAgent: Agentic Graph Language Assistant Graph attention multi-layer perceptron

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.245449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.950622Z digest=sha256:542d1ec3ead8e220a4121c9e45056a0ceebf83fe5d8ca79bbc9b65aacaf75cb6

Observation deeecb60-fbd3-47ef-bc63-350e12a29415 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

GraphAgent: Agentic Graph Language Assistant Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.225281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.956081Z digest=sha256:27af35beeb5c301eb284a4992ea30da13d2fbf43457f6138fc2abf2d3c0a9228

Observation ed034af2-a450-459e-aac7-9cbb007c2e97 · outbound

This paper cites Knowledge-augmented graph machine learning for drug discovery: From precision to interpretability.

GraphAgent: Agentic Graph Language Assistant Knowledge-augmented graph machine learning for drug discovery: From precision to interpretability

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:56:04.207798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.961039Z digest=sha256:c48e24802de38bf48c87027d90b8b9ce104778bdb6861fa4800ae0c501241582

Observation 9a6f3e90-1b0c-4268-91e8-5bed338603f0 · outbound

This paper cites @esa (Ref.

GraphAgent: Agentic Graph Language Assistant @esa (Ref

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.966590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.966590Z digest=sha256:06dfca49f15453dc9faa2dd205dfa7fe0e22318ea692ce5d42174c60a3139a9e

Observation af9703f5-832c-4514-ab2c-89485a979e32 · outbound

This paper cites an unresolved cited work.

GraphAgent: Agentic Graph Language Assistant Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.971779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.971779Z digest=sha256:f7e21a863ed92c5dc4fbcbe5d11889076eb5d98c04ab48c5f3d4bf77cdfb93bd

Observation f1eaa440-c26a-43c6-a607-acbc0efee9e7 · outbound

This paper cites The Llama 3 Herd of Models.

GraphAgent: Agentic Graph Language Assistant The Llama 3 Herd of Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T05:56:03.977881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:56:03.977881Z digest=sha256:9b69e57f0bc0f14cad57b3ee9f671a8c6dccfcde60d87f22bcbc03b9e3e6451c

Pith citing papers

Observation e45a494e-b9a3-49ea-a918-917ed2b1b044 · inbound

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities cites this paper.

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities GraphAgent: Agentic Graph Language Assistant

Reference 139

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:26:55.717155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:26:53.248472Z digest=sha256:ab01527276f485a2011fea0075a0f1a97fc6171e81b476353a1fcc4215e6a1c6