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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=sha256:140c8fbdb7c3f0921bcefc1aa7d0e35051f72e9961432e1027521738c69214dd

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:c4ac0a7e9f3784b68db37733bcfacae5e58eb0ec0218f99b0e80930aee8e6024

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=sha256:11686ff6f40fe6ae39993feee5e3c7f25e794baa404bfbe5f9fcd291516eab74

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:f26474365415b9ea9131ba035ad99a7e4b8a8cbe6cbef7fa8642a4b99039e163

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=sha256:43198853b48f5788d8d092c5e343bc6a4846b05b86d3118a38563d71213f21a4

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=sha256:428dfb6aa4b878031143b0faa3b63775131caa48ae1b8548be9212e32f1d3e82

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=sha256:8ae349c042ccf420fefacc56cf57d0bc950394c6c79d61786b333d4914de9a56

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=sha256:826705ae2949d79e64f031f391855a32eaaff631cac3c5b753132dd75f9e12f2

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=sha256:8c3ebbe12db213163f9c92da178c17868db5dc8dd507954053cd51e30174889a

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:b6bf6c1f943f89d57056596d2854c25a16ff71c5acd7e2fd3ab7a6c374b21896

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=sha256:89c9ce36b81fb05453d060e905fe8e322f22bc06d2629be27bd8f49f10e6b5b9

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=sha256:49e784b1f1ebb37fe319f7b161c3ce1074c82c60235b4e8dcb9ba2cfc5e2a8c8

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=sha256:754e025a9fbc038ff232d96012e0b16aee2ae9c9dd44cf167b0a7aef684754b9

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:c0bb442028fac04e687f9adb54dd20897c054a7f8c84fcd3b709013812dc6662

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:f11385be2ca8afc7787421b5f3405a59002e5bfd0a0156c03cc9ddcf2b76733d

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=sha256:0212d1b533f8eb9478b0a3c835bfbdda0904baacd5dbcfb04a82904a40561a1f

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=sha256:7f686ced75e435ee850b19bcef9f29f02c663e57d67a8da0a2efe24e2223d17d

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=sha256:5cea2cb39e5f706e7cf776ea0e69277ab7162eb5dc70bcbb3c7484f347d8a06a

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=sha256:7bf4c0553cd9a397d02f9c7988682c1a29cbbf0f2ba97b2aa05d3aabf3023e4b

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:a19adb5f7d23ad8725e7088a096d808b5f998840fc0958fbde55491aa76eedb1

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=sha256:8502f94a6ca8447a17d2bf16cbca670446b42de958b2320c001ce165eef05929

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:c30fb11a025fb58acf5ad12f116c5f743037636653f07a341d78812a3a48811a

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=sha256:56cf81ab010bf54554e2efe7cfd6ce61af8c0412dc3fe11bfc127b8fb62e1ae0

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:f48587e86819a638debeb626933187b8b4d0555222378b8f864a3b6176c2c081

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=sha256:66cd48318bf9cb81cec0a196c4317729a2d1166d47ecca9041daa313a7d0d671

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:a228be04bf2b55a963db01bcfe25c84bc81bc16fb32f49d651f643ca5b11983e

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=sha256:02d0bc83fbfa37e6cc77c023500fe68bfadb0a470448c1fd0dd393175cc7cb61

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=sha256:1e93922705935a401130bee7251db799ebcc4efcec2e26fd04775e39e62d2db5

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=sha256:93bf28081a79c586aaa753f34117e298251d99c5c7abfd527a25b36121c48ac5

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:cab41986db8fc561868d7cb9aeed80ba15dddcf9f702e84cc811a90bac3bfa2f

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=sha256:7d88627ee350230a5f78115f7b0e591b7238dbdef30fc84c00ebb95525676f72

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=sha256:42bb708d090b42ff94a4d6a03d198c084bae6dc8e520724fba45907badaaf580

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:ade448d203db0b70cac9584b7813d6572f146588684ea694c43c4646ec815d24

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=sha256:0c4fa9a35ff4e502f3e6e5f9c701a6edf5182fc1151c784fe4c1552fc3e49997

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=sha256:9c74bac37b804867ab79c8c8133d67fca17aa5ca4b2ef3426c00079183b6366d

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=sha256:6ba73d4181b5dedb6d254cc62ee98dc3c848cb8eab274fd6d9bad44244ef39ad

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=sha256:35c372f9d15f6ba010a473fed06e52316944d594552349ccf175cc628ed85620

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=sha256:742e0a8013dfdbb20e2b8cd27eb429ec42d05d630cf099bbf621074f96273cb8

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=sha256:88692d695bab097ba62004c8b4b41b99504b89eb42e125cab233a11f27b4ef47

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=sha256:5bd4e7f814d89fdcb91f4aa410fa45af00cb5c7aa63e5e2b0cc0320b914c878d

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=sha256:2ecbf07d6544c122c275faf87bb7b30bdbd8a317526ed641bc33dae6118b279f

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=sha256:04ba2706e2ae3c85e6230f16306db5b64e13c98795e82c3799932fa05ae5154b

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=sha256:937c27ffcd82adf86d2cb3a81eaac9be752fabd8a1e44658d4fdef88ed1eccc5

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=sha256:305b96db99c36d2c481f5639adfc213998c631029544cb13f4824fca817dabdb

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:c5912f128780ad01c69c07e9936424cae277c4494808db6610981660537e8a15

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=sha256:7f0e8bd5075897c2933110e9fccc79cd181903cc73526c6a124b69ba499117eb

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=sha256:5dd665342c0c32f40ea8461bbe479af1c3a221ce9c72124a37b239d73c6cf19f

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=sha256:192b47fe0df7b1486b99337bc282d4e3dc146482676b6ec0dca7d3ca23844e90

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=sha256:0bcfbeddddbd6d7d9d82eebfc65c3474a91eb78134780fe44be5dcfd0166c744

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=sha256:5c54ae3286462c93e212f2ded1f4e45f3a253e2b444beb861c34960ed21118ce

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=sha256:65aebd3cc195c500ce3658a81df1e90f35199d75a019a251c7ba3694e62b7371

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=sha256:59cb7a5a64c4fa7779b28e02256617c3a69c1590b2d7eda8948e4d83765e802a

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=sha256:84c04c29a33aaaa855a876c8ff56f1a63862030a4f4ec375a66c305e9692f314

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=sha256:803a60b286a65c524a4eee86263658d15ee15f304d83deee68c60d8a5d303627

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=sha256:5b8d98f44a3f5634880484d725eb1b74637cb00ae092b3cfa4c5bd4bf7475bfb

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=sha256:0e1f6b1b6d4859f36d163222f23e929fcdf566f35e7d2639ea313d8ca0e71450

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:b2b62e8bba4c1a118a3472c04dc8f21da5a992805f991174468ef55d72f09949

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:fbf7843d6adcb6e17fbc7f622161f83e92dd10d483a38a2aab2b4ab40ad3d7fe