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Paper Citation Record · LEDGER

GraphAgent: Agentic Graph Language Assistant

As of 22 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 2026-08-22T06:32:14.747728+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=sha256:481c63e6beeea0f61eb275a5ad845a9ab12379e836160861c800da5e84ce096a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.669357Z digest=sha256:aaf3272c0fda614cb017e36be55685c3bc11a89b63b1a44eb1030b60005fc556

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.675922Z digest=sha256:951c4024fbbb3ece08cda88727161c5104f725b457cd4371cefa9dd8a56cdd9e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.682443Z digest=sha256:07539b9a051fd77ef7b9c92c8cfc12ea442eccaaa6381215a79c937e061b7723

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.688506Z digest=sha256:4e50fc861e7a2830738720ea25af4e9c8eed15abb3dcc9eeba55d12058f5afea

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.694089Z digest=sha256:05c188e20135185cdf5136af87f5153ef51f6eb0ab19ebb6d8917ab9f40f9c15

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.699511Z digest=sha256:7efae3afdad66dce2e45b880b6c05b748e30c901de3194c098ed8b8c7dcc8d8a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.707634Z digest=sha256:f906e4e43a7988a68dcbf62d9478ea24dac5166d7b5cd6e66b6105a8817890dd

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.713133Z digest=sha256:43a2878b71fcec29b7ceebc7e94948862c821fb7b846495997eef7b43fdcbd13

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=sha256:7fa0d15e86cf78e6783a4c7e531ead12ea8335c2b221ac698dd57a16951568bc

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:f7bdb5776074159bb0c5c5574da76af3bd45fc4359976a72c7b5a04bd6cad946

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.731338Z digest=sha256:574f80460f6bc7806f81479f03faf34b06c173f35fa2fb2ad0229f081b0da886

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=sha256:4c0f1e0b844c40645f6c551f8278a6c83d6a75fc493034a483ce70db807232a7

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.742109Z digest=sha256:431af22a5d5c818eef332a859e09da7e11359ed5a670e9a872e6c38637343302

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.747188Z digest=sha256:b2796a935adc1d2bc017f476cf26f25f455509f0dfee013b779a75c07ad7cafb

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=sha256:702ef8509321baa62cb67d2e512af8251ab2feab16a685b430587d68dde85290

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.757878Z digest=sha256:8c66eafb7dc0c53432fe9a52fa1735360a825513aa82dcc9e42a769cc2c61bd2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.763567Z digest=sha256:d31b28a12bbd12a00b200bf8bbfc6c445078f6af3bb5d54562e9f51de68e3102

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.768633Z digest=sha256:46aa33334424e90994b6e826501a0ccb77618e3d44a0874d8006eed9a6e09a84

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.775676Z digest=sha256:c3cf182f243fdf41e3990f06c633d86527eedb141b93899e31cf177acdca961d

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=sha256:7496af0d11c385a56258dd4409cb94483ef46c271fbebce03db0ce6745baccee

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.786837Z digest=sha256:96ef7707e93f202f0b4a7b91364be9ac7b623ed1c5ca3fbe95d09269d3661929

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=sha256:81ebb0da3ef704543882d748e21d9ddfafad265112432e439d65071276ef3a88

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.796568Z digest=sha256:b0b656d81a5ce82750338b4679ff9b2a823d0de8d35a69d553f38aff39deb2a6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.801419Z digest=sha256:f651efcbc4f1db7351654d8a0710a5d13a46e0b0b77546cbefb50df6f373e5c4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.806827Z digest=sha256:3e3b1f456262069cc687be897c5868e9e590a7c0519767f3dcadcbe845631714

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=sha256:84d7811c63ba46f2f774dc787dc7a3571bdd87cccde7853d37523bfcf4adbf53

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=sha256:2d5414152ffeead7387a33c0c493f1c3ff524f88699572d621e0a9b42aae7065

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.822556Z digest=sha256:b7f426a9a31969df99386fbd103b736a749d5c057557840f7ec584514dac572a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.832606Z digest=sha256:ae01979ab6a886b4e9244855dd9a7b545a83f973f31588cc60c9115c7ab1ed57

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.837799Z digest=sha256:ef46f6ca3e2b78f9534d56252234670ee85cbaa86fb6ab57d01e32250c71e68c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.843925Z digest=sha256:62b31cbafb862af23e9e69791824498950fc7dd76e27e5e45152f22edb39b41d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.849983Z digest=sha256:444ca75540e32591dc3e09ae479135d796bec4cc4640f6219aba665dbe6e1d40

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.856205Z digest=sha256:ce0960df1675e156813772d7019fe8091533b01fa4629af5419912f08d5439c4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.861971Z digest=sha256:8198d66aff81a9d856a1ca93312e65ecb5e016fc19ddbbb94d91334e0cc78b5d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.867130Z digest=sha256:33eb4fbb82a72ad45e22eebd23a1f601d4b86653d9952a74782536123b66cfc6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.872195Z digest=sha256:0458a46ad56358281c3e5d8cdfacd6bf3de2910dd241d1379594ee5ce9f858e8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.877429Z digest=sha256:5f89a0ca406475fcd199355b72e48cb6fe6ae2df82684c8342b8f0645d401ffa

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.882141Z digest=sha256:4a3bd85620871a3667ba36114d231af022b5feb650828dcc6ced6bf5e55a96b1

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.887166Z digest=sha256:3428c9fa82449ccc4b9f90b266d53d40b9cd294a3ffeab31107ef452bd9016ee

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.891992Z digest=sha256:917c1cb14684e8946ad7879f7649230ad21a7f7847fd07646c57a42b2f985d80

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=sha256:872d3669ce1f2b20173a211b64687390fd05c2c03b0330c6099310bc42863c4c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.902343Z digest=sha256:10123e4c58994ef90bbd4a8c18d9c99b26864aabda8b2bde59b70f16af680fbe

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.907175Z digest=sha256:68e2c4baa07b52ba81b50c93c433c011a3eb949c22f8f706299c218ddb59783c

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:d13c5dd646be76f0c751f5acaae88869158e8fc7b8521e4bdcf31be99dc35210

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.917763Z digest=sha256:842395e81b21a4e6dd7caddbac02ad9ea829bb30b40571d1f9adb327b0554a9e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.923440Z digest=sha256:050c061a6f5ec41702f99d78489f0a37058666b5dd01bb0b75050ccb93ca1f31

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:e238809c578208a6a24f9962ef57ef19c1898cd8371c7c6d4044f94dbe11c0bd

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.933386Z digest=sha256:acc6db544973c12fa1039d2840299b784e76f972b3fcea0af15ab5ffd2526a22

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=sha256:78cf322795a9a8ecfee4d00df90c2c75e58bb4c612deff0360393a85a99a0f44

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.945462Z digest=sha256:9630cedac9db64d135fa0ea42078e8844284658b57d93ee0c2c14b470cca6396

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.950622Z digest=sha256:dc6e2c51a29f8e95e9c8475fdcb89c666361ef7b3069d81af288e7efdc13fb29

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.956081Z digest=sha256:626123f9343b1df379fb6516fd1db89e4e865a6a52805b5871977da402088411

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T05:56:03.961039Z digest=sha256:e4c1258e7c7542c31649ffb6c07b48afc30c5b5ae677229dee7616a1e51a72b6

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=sha256:40199c78cd27aecd38b6e7b2c8dee86abea7579788d20e8eb3d6732f40da8330

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:a11a2a0b14c8e9d4480a757f79dc7577bd6aac5c63761a7a2dddcd786b0acc13

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=sha256:6a40b299498d457bfd951bc7f84b5766ab1a64aeded9326dd04e94c7a95d8a9d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T23:26:53.248472Z digest=sha256:64ef9e0f06f536313dda4e80cd1c64e2363102253d17e1f31a7ad739b0bceaa5