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Paper Citation Record · LEDGER

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.10461.

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

pith.paper-citation-record.v1
2606.10461 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:52:15.860919Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5d13737-5a9f-442b-9702-a79f8ac63423 · outbound

This paper cites an unresolved cited work.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 1

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Observation 0d3fe335-6c28-4c11-adf0-7bfdd7b693b1 · outbound

This paper cites an unresolved cited work.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:536dd0601cca14d68702d465cc28e8ef733a2f71ef5197c7cad328eea6957619

Observation fefefd74-1bb6-494f-bf7f-318e9cf352fd · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 3

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arxiv_id, observed 2026-07-03T04:27:37.280545Z

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Observation 2aec751b-4cb9-4a01-9104-1bb69949fa4f · outbound

This paper cites An Overview of.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs An Overview of

Reference 4

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Observation bb101a84-62d0-481b-b342-8651409eb44b · outbound

This paper cites Proceedings of The Web Conference 2020 , pages=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Proceedings of The Web Conference 2020 , pages=

Reference 5

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Observation 82e8318a-676c-4c8c-b749-6b98fe12fc98 · outbound

This paper cites an unresolved cited work.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:4d2404c7ce9582b0a3af7acd1340187e5ad096c7d8b0ac0ab735de860a259a5d

Observation a9cc131f-b141-4bb4-a020-460ebfe5374e · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Proceedings of the National Academy of Sciences , volume=

Reference 7

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:422fa7558ac897a854b196495b858488e7b7c8027a198a2be5e1601b04e31a71

Observation a6dfb8a4-7785-421d-b511-979e94b54586 · outbound

This paper cites Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 8

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:ca26f62e5073baf54c01de26994203d4e87b5a1de01ea42b3ce1bb6e62e5e506

Observation 51d027f1-0374-46d0-a6d4-d108b0a9e695 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Advances in Neural Information Processing Systems , volume=

Reference 9

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Observation 47ea8129-5765-4eaa-8fdc-e31f8f575f78 · outbound

This paper cites International Conference on Learning Representations , year=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 10

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Observation 9406b32d-adbd-4840-9a3e-76e1393ac436 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Advances in Neural Information Processing Systems , volume=

Reference 11

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Observation ab243aae-4ba5-4e91-9497-cbe76a61e063 · outbound

This paper cites International Conference on Learning Representations , year=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 12

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Observation 0dfd4f21-3b35-42d4-98aa-a1f70ab0caaa · outbound

This paper cites 2019 , doi=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs 2019 , doi=

Reference 13

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Observation ec871d17-e85b-46c1-99d1-0573e34cbd37 · outbound

This paper cites an unresolved cited work.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 14

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Observation 4f2c9943-5ab3-4189-ac4f-7cad060f696c · outbound

This paper cites an unresolved cited work.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:0c5bd2620f9fd0cef6a1ad7b91e2975d1ea64c585a8080e43a7abbf7532af7aa

Observation eebc87d2-583b-435b-8d6d-7d41d1d02cf6 · outbound

This paper cites and Li, Jia , booktitle=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs and Li, Jia , booktitle=

Reference 16

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:38689f6773c0136ca3135b50d51b11088a9bb97ca71510432dcc6b768d44813c

Observation d1a24895-b231-482e-9948-7e92b9ec6f11 · outbound

This paper cites 2024 , publisher=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs 2024 , publisher=

Reference 17

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:d9e9803c079f4aed369ddbfeb2af1f163cc7a172cc2721a3861a13f203d49ac8

Observation aaebe480-7469-4413-b597-a1bb2ce3510c · outbound

This paper cites International Conference on Learning Representations , year=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 18

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Observation a76ba52f-55fe-4713-9d0f-af3c97e7d730 · outbound

This paper cites an unresolved cited work.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 19

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Observation 24662842-afb5-41b2-8b43-a3c04ccf2b32 · outbound

This paper cites Graph Machine Learning in the Era of Large Language Models (.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Graph Machine Learning in the Era of Large Language Models (

Reference 20

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Observation 5318c3b1-d20d-4972-b553-568774853f3e · outbound

This paper cites Predicting Structured Data , publisher=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Predicting Structured Data , publisher=

Reference 21

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Observation 693d9bd9-93e1-4ba6-8b61-68dcb7895599 · outbound

This paper cites International Conference on Learning Representations , year=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 22

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Observation 45834f0a-2e63-4701-a33d-72078ed8299c · outbound

This paper cites A Theory of Generative.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs A Theory of Generative

Reference 23

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Observation 3a3c3c40-1f3c-49ac-b712-ad41b2560145 · outbound

This paper cites International Conference on Learning Representations , year=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 24

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:01ff60f3e4fa7d2087a54c58bd5a032300f99c7be97d0091ccb010905cdd283d

Observation 931a812c-2f07-4249-8a80-3776f26a2375 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Advances in Neural Information Processing Systems , volume=

Reference 25

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Observation 3142da58-1a65-41e1-9d2d-c53610790fe3 · outbound

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ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs 2023 , doi=

Reference 26

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Observation 87eabea9-b934-4cd5-a82b-fe672ca125bb · outbound

This paper cites Journal of Machine Learning Research , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Journal of Machine Learning Research , volume=

Reference 27

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Observation ebe0d22f-f641-48cc-84ab-99f9320b9164 · outbound

This paper cites International Conference on Learning Representations , year=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 28

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Observation ea6bd758-f3ea-47b7-a642-6c59116686b2 · outbound

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ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs 2020 , publisher=

Reference 29

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Observation 8f24cdbc-8184-44c3-927c-fc06008f67ec · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 30

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Observation bc52b24c-dcd8-43c1-b8b6-ca0fa3124452 · outbound

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ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 31

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Observation 72172942-8447-4f55-8d79-1c856d18f026 · outbound

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ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs How to Train Your Energy-Based Models

Reference 32

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arxiv_id, observed 2026-07-03T04:27:37.280386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4522358f-03ea-4940-86ac-3336db1349ca · outbound

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ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Neural Computation , volume=

Reference 33

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Observation 89cdaa13-3aa0-4d59-b767-fce705cf4486 · outbound

This paper cites The Cramer Distance as a Solution to Biased Wasserstein Gradients.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs The Cramer Distance as a Solution to Biased Wasserstein Gradients

Reference 34

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local_arxiv, observed 2026-07-03T04:27:37.277527Z

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ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 35

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Observation 9c2e1594-4f54-446d-8420-c1960f78825f · outbound

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ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs AI Magazine , volume=

Reference 36

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Observation e6d95308-f646-4478-849a-ffc1477d108b · outbound

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ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 37

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Observation a0c081fe-28e8-4389-9e4e-beceb9f66695 · outbound

This paper cites an unresolved cited work.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:0148c25bc446edea30787feadee8a69e29310e8bfcecb061c1e105defe74a460

Observation 5b6d4226-b556-4ff2-a9c1-a8fc5ac15227 · outbound

This paper cites International Conference on Learning Representations , year=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 39

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:47ec44cb0169b1abddeb39f526acf9c2a8d1cff1d3d6061b10e3feb9254eb4e5

Observation a8d15022-31ab-4483-8c0f-ac0b045dad80 · outbound

This paper cites International Conference on Learning Representations , year=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs International Conference on Learning Representations , year=

Reference 40

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:e911e30334f23980108e7e89368037a9452a8a09a4239656d519da1ee7c7eb95

Observation 17e9f8e4-4725-4400-95bb-ef840c9e8c08 · outbound

This paper cites Harnessing Explanations:.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Harnessing Explanations:

Reference 41

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:7e4b7cadf5c87359294b6a785a03b4500260e594c81f8b851908606f4262e68a

Observation 89d902c8-6f0d-4e4e-a616-2a538488c89b · outbound

This paper cites an unresolved cited work.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:53833ce8c04b53820e7d0eeb2ee3aab4f1a50dc19794b9c27eeacc22c64c52b9

Observation 860f1e5b-6f40-449b-919b-20eb8c4b393e · outbound

This paper cites Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence , pages=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence , pages=

Reference 43

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:3f15aca5e2dbb4663643cb0af8bb51f2068dd0d7331a0d51dd5239935407f6a6

Observation 1b1d5280-b13c-4e1c-9833-5d2a2e7419fa · outbound

This paper cites 2024 , publisher=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs 2024 , publisher=

Reference 44

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:6b2c606eac301b698cb9e602aaf7ed70a7112204331c49d0da51a5b7142e2fae

Observation b6e1b93c-0d9e-4af2-a2b9-d9efe63fd983 · outbound

This paper cites 2024 , publisher=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs 2024 , publisher=

Reference 45

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:d72ff5b2a11a91d1e7137defe8acd61343b574c71c3b32262d9996f095dfb38f

Observation e2200c7f-c11d-4413-95c8-b5d6ce274391 · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=

Reference 46

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:38875c4b0798cfccef04cfd8839d9aacc8d60ea1cbcf2ab36cd28ffee3cd8ae0

Observation b8d59fb5-c6d2-404a-b495-d44d5ff88d54 · outbound

This paper cites Multi-Layer Perceptron (.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Multi-Layer Perceptron (

Reference 47

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:c93337b0b3759a71c8e1c66ff0fd7ae049f42093c70b67dce7caf4b12cdaeb92

Observation bde3b873-e3a4-4d59-b170-e73df4226208 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Advances in Neural Information Processing Systems , volume=

Reference 48

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:f6763ac77159326d85cec11b3685d01ddb75505f02abe2bd679b2ab5c8703882

Observation 5faab797-c233-4fb9-92d5-a69a3ff6313d · outbound

This paper cites Lee and Bollacker, Kurt D.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Lee and Bollacker, Kurt D

Reference 49

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:854e2f25852d8411b81cf3da8180fcd523e3f09b4d25894da1718c2257f95516

Observation 1d616fde-a02b-424b-b547-d3a4fe5b947f · outbound

This paper cites Proceedings of the 33rd International Conference on Machine Learning , series=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Proceedings of the 33rd International Conference on Machine Learning , series=

Reference 50

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:bba60811452f41503b94992b54265f888c9381762e0a2c58c1a56522a1945ab0

Observation efbe8031-badb-4916-99a6-ef02cda15089 · outbound

This paper cites Foundations and Trends in Communications and Information Theory , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Foundations and Trends in Communications and Information Theory , volume=

Reference 51

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:e91acdaed3fd0c42a2113ba90fe4fbf8c21ffd5f424b8bcc452d5dd9c13179f5

Observation 9e7fca31-bae7-45d0-a501-30b856515fa6 · outbound

This paper cites Toward General and Robust.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Toward General and Robust

Reference 52

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:58c71ce6ae091752270c8f016ed2ed6305b58d3a97afd141b6f14dbc60aa9529

Observation 72e814ec-5b94-4603-84fd-c25c64e39dc2 · outbound

This paper cites Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 53

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:6da2bca7518b97b97d6dd75111fc4ff8d01defba016b0847e464aa7b2f38a15b

Observation 0cc4c011-c8fa-4465-869a-149267e6903d · outbound

This paper cites 2025 , publisher =.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs 2025 , publisher =

Reference 54

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:ed415c50ecfddc58328c332b3649151970a3b292de2d60c8f320ed9df8ac2bf6

Observation 729f0cb2-2895-450c-b8f5-6a86ead0eed2 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 55

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:1ba5454e5bf3228d5dfd408a906ebb0991151bfce58a5016b6650a1e04815563

Observation 84989d09-fdf2-4e38-88a6-2711e7f471e6 · outbound

This paper cites Nature , volume=.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Nature , volume=

Reference 56

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source=arxiv_source observed=2026-06-27T13:52:15.860919Z digest=sha256:e1cbf7c4602db628dc0606595c46ebda0d1ae803cc28f987c23701ec2dbef3f2

Pith citing papers

No inbound Pith citation observations are available.