Pith. sign in

Paper Citation Record · LEDGER

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.27303.

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

pith.paper-citation-record.v1
2607.27303 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:58:40.874577Z

measured 30 of 30 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

30 of 30 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c13233b7-cecb-4418-aac4-6bb7a3a7c97b · outbound

This paper cites Billion-Scale Graph Foundation Models.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Billion-Scale Graph Foundation Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:37.610669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:37.610669Z digest=sha256:df0a1f5ccb23b3e19dea0d1210822364e4cbea2b557bba00180da9eedba7fd2a

Observation 9cc2eca3-e515-4038-b81f-ab886474f014 · outbound

This paper cites Natural Language Engineering23(1), 155–162 (2017), https://doi.org/10.1017/S1351324916000334.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Natural Language Engineering23(1), 155–162 (2017), https://doi.org/10.1017/S1351324916000334

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:37.760104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:37.760104Z digest=sha256:5d523ff6db3cb3de984f8719f8c68cd9edef99ec81988ef965fac67e891a30be

Observation 60f57bc9-a406-400b-b83d-8a0bfa775b21 · outbound

This paper cites Heterogeneous Temporal Graph Neural Network.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Heterogeneous Temporal Graph Neural Network

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:37.853203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:37.853203Z digest=sha256:b5bacf5f9307c86d08d347fd67caaa229d3dd6f5be69fc6a28c91263542fffbf

Observation 6fdd5035-a3a0-419d-9110-14ebd2e52ff0 · outbound

This paper cites A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:37.903210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:37.903210Z digest=sha256:0be0627597fc0ffbe7bf2f4880eec773deb3c4fda19ffd89ead1fc2c4783f859

Observation d5dff1d1-8ae1-4649-870d-0fdc4fa5dbef · outbound

This paper cites In: Proceedings of The Web Confer- ence 2020.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of The Web Confer- ence 2020

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:38.003556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:38.003556Z digest=sha256:d76574420aaa40b3d58110eae2f1feaaaa624694090b97849fa8ad3f98a99396

Observation 1f0c4592-6d63-4f11-b0fa-d327c5087dd9 · outbound

This paper cites ACM Computing Surveys54(4), 1–37 (2021), https://doi.org/ 10.1145/3447772.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model ACM Computing Surveys54(4), 1–37 (2021), https://doi.org/ 10.1145/3447772

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:38.101997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:38.101997Z digest=sha256:b764f89beab9767edafc075aa06946a00814ac9c13a6fb171bd45154d5067073

Observation 046ceda8-0c9c-4051-91d8-c849a3bd2822 · outbound

This paper cites In: Proceedings of the AAAI 18 Y.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the AAAI 18 Y

Reference 7

Resolution
verified exact
doi, observed 2026-08-01T10:03:29.018831Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-01T09:58:38.248194Z digest=sha256:6722322842f56620c9202e6e5c73b48ca487228d1b250d9c84bcd8fad1d35126

Observation 2373ea57-5968-4296-b834-8c67b20d19d7 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:38.391913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:38.391913Z digest=sha256:35b55111f3bc3d8ccdb865312d6f90d2f60a31ad10744071b99d956777b8b986

Observation 6d76a771-d65d-45f3-81f6-7490faf6cfd4 · outbound

This paper cites In: Pro- ceedings of The Web Conference 2020.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Pro- ceedings of The Web Conference 2020

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:38.463584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:38.463584Z digest=sha256:1b691229df87947ebc882b547b143f554d40a678551714e5fee68b721480d58f

Observation 02edd8ed-3157-4809-a6c6-e3596edbdfcf · outbound

This paper cites Knowledge-Based Systems339, 115514 (2026), https://www.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Knowledge-Based Systems339, 115514 (2026), https://www

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:38.558499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:38.558499Z digest=sha256:34abdc6fbacf7d42875e27889ca39130123a75f88e135ab80f9e50f4969385eb

Observation 2142e000-5b40-472b-bc08-2915e126393c · outbound

This paper cites Data Science and Engineering8, 98–111 (2023), https://doi.org/10.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Data Science and Engineering8, 98–111 (2023), https://doi.org/10

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:38.660638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:38.660638Z digest=sha256:06cb1dacae0af8ffb69ccf97353d40c5bc72216c9ecf60f8460134a35b0ba1f7

Observation 616b79d6-9c9a-4e1b-beb8-a1debb112cb8 · outbound

This paper cites In: 2024 IEEE 40th International Conference on Data Engineering (ICDE).

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: 2024 IEEE 40th International Conference on Data Engineering (ICDE)

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:38.968807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:38.968807Z digest=sha256:39bef14958640b684956b3929151b6dafabd9b7f1efb7939e50dfd4ec37de011

Observation 08443809-87df-4521-af18-d0cf9bb470d7 · outbound

This paper cites Journal of King Saud University Computer and Information Sciences37, 191 (2025), https://doi.org/ 10.1007/s44443-025-00222-z.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Journal of King Saud University Computer and Information Sciences37, 191 (2025), https://doi.org/ 10.1007/s44443-025-00222-z

Reference 13

Resolution
verified exact
doi, observed 2026-08-01T10:03:28.853728Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-01T09:58:39.107401Z digest=sha256:1d9e52dda78cfc8e8759ddacdd3c4b68de76954207eb63793ca1528f35950c8d

Observation 4fd167cd-5d7c-424e-b296-b8b41c046300 · outbound

This paper cites Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:39.224967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:39.224967Z digest=sha256:ccae7596d07ccc94a978d857070481ad30e2b2a55e0d3d54374599b00829021d

Observation cfa1600a-61b4-459c-857c-17757956cc3f · outbound

This paper cites In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:39.387241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:39.387241Z digest=sha256:74e1bb470cc490a7fec161509bb518718b16fd0a09f1bfc76b27c951a2f810d1

Observation 879fc75d-a645-4adc-81b1-35e819c15647 · outbound

This paper cites In: Proceedings of the 26th ACM SIGKDD Conference on Knowl- edge Discovery and Data Mining.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the 26th ACM SIGKDD Conference on Knowl- edge Discovery and Data Mining

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:39.506120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:39.506120Z digest=sha256:e81de3507147d3f55597760717400cadf2f4cb4e6e1e734b7285a359a5d50ede

Observation cacb4448-b59c-413a-b76f-7e7f7ad82ca4 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:39.597837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:39.597837Z digest=sha256:f41bb67581e1c4cf17ab438fad7c0728444a030b43372058ba6c33899d23defd

Observation 6f9eaff5-17f4-4013-9863-4baed9b7c168 · outbound

This paper cites an unresolved cited work.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:39.679555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:39.679555Z digest=sha256:d2ad7bbdde403ca722587dd369691e26aadb5b5db66a9dfda58e84a7dd212529

Observation 9b4f6bf9-9c44-41e1-a94d-e9d718ccc4af · outbound

This paper cites In: Proceedings of the 2023 International Conference on Machine Learning and Cybernetics.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the 2023 International Conference on Machine Learning and Cybernetics

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:39.803607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:39.803607Z digest=sha256:74c130eda0d4c7831b6040cd4711fcde3a7fbe2a8bc95b2f62e9bd423ce003ca

Observation f02d34b5-aedd-426e-ba71-8e8f3f6731c0 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:39.963715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:39.963715Z digest=sha256:9bff77d6cb13ba51753a932771e64644f26f50185f12a8ff7d65e368f63fd503

Observation 47942389-4b8f-462f-bb72-2c938855bc19 · outbound

This paper cites In: International Conference on Learning Representations (2020), https://openreview.net/forum?id=BylA_C4tPr.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: International Conference on Learning Representations (2020), https://openreview.net/forum?id=BylA_C4tPr

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.033449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.033449Z digest=sha256:5dda7a5cd0394bf6096b7f4c0e9a2dd1ae6f45151539ff9bd064ecf07457807b

Observation ed2dc7b4-42ab-429b-9de0-8d7186e6ae11 · outbound

This paper cites Quantitative Science Studies1(1), 396–413 (2020), https://doi.org/10.1162/qss_a_00021.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Quantitative Science Studies1(1), 396–413 (2020), https://doi.org/10.1162/qss_a_00021

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.115041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.115041Z digest=sha256:0e17a9edf62a8303bfc3a19172ad9f8097ee9d6a362ac82aa6ef8f933f653438

Observation e83b850c-85ab-4a5b-8699-affc1201c8fa · outbound

This paper cites In: Proceedings of The World Wide Web Conference.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of The World Wide Web Conference

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.199379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.199379Z digest=sha256:fe33406208609ad31531481b6c140fbf686949d7caea86a4dc2aa149cb3b9796

Observation 57420b35-d77d-4220-8ea9-331bb70d67d8 · outbound

This paper cites In: International Conference on Learning Represen- tations (2020), https://openreview.net/forum?id=rJeW1yHYwH.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: International Conference on Learning Represen- tations (2020), https://openreview.net/forum?id=rJeW1yHYwH

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.274888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.274888Z digest=sha256:f672e3814e8e02cd9e4a23dde6285c6b8f1f9f6a883c5de91ced2ebc2b64639a

Observation 285a130a-62c3-4602-91b0-2d5c9774fc44 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intel- ligence.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the AAAI Conference on Artificial Intel- ligence

Reference 25

Resolution
verified exact
doi, observed 2026-08-01T10:03:28.680586Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-01T09:58:40.395365Z digest=sha256:f84eb49b042211c460f9b438d0b71a7c3140b08b08268d1f3da82c5b08b23f82

Observation cedc71fb-58df-403a-9aac-ce2ec60ac160 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering35(2), 1637–1650 (2023), https://doi.org/10.1109/TKDE.2021.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model IEEE Transactions on Knowledge and Data Engineering35(2), 1637–1650 (2023), https://doi.org/10.1109/TKDE.2021

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.519455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.519455Z digest=sha256:6f695de58b3b227c9f54c50236117fc4fc6d25fb7c358ce05486116e0fa6a114

Observation 53fe7885-3c2a-4e36-bcca-175f53786bb6 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Advances in Neural Information Processing Systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.590278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.590278Z digest=sha256:54a43063d66d3f7d1961dbc388e89039d2bc15722f407a7055714b0e95d4f243

Observation 2ec790f6-35b7-489c-9d33-939c908e9d75 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering35(6), 5935–5947 (2023), https://doi.org/10.1109/TKDE.2022.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model IEEE Transactions on Knowledge and Data Engineering35(6), 5935–5947 (2023), https://doi.org/10.1109/TKDE.2022

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.694505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.694505Z digest=sha256:af34d295e953fc6360189296a2472fb90b1e802e9120aac259abeed793be9c26

Observation 34536b0a-c9c5-4553-9a8a-c6431dac1e24 · outbound

This paper cites In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.790822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.790822Z digest=sha256:3bf880f435eaf8646d0667cf249963d13c0dec28aa059871dc07349ee35a156d

Observation 094d9e5b-b20e-4581-9360-17d27100e64b · outbound

This paper cites Heta: Distributed Training of Heterogeneous Graph Neural Networks.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Heta: Distributed Training of Heterogeneous Graph Neural Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T09:58:40.874577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:58:40.874577Z digest=sha256:def7e6f5991ea8d2364daf4880852321b1a29e0b7b0981867bd22865e794f9f4

Pith citing papers

No inbound Pith citation observations are available.