Paper Citation Record · LEDGER

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2508.15015.

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

pith.paper-citation-record.v1
2508.15015 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:16:55.793419Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T05:25:48.965001Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:26:23.637965Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy7
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31750319-7e12-448b-ae17-950d06c47408 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:52.220362Z

Source-reported events for the cited work

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Observation 0fcb912a-9271-497d-a5e0-7ad9aa945209 · outbound

This paper cites write newline.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:52.302345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ef6ec5-4a14-4ea6-9b12-a35c657a9351 · outbound

This paper cites Layer Normalization.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Layer Normalization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:52.368338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbb6681d-073b-48f3-a9ad-e44fb54bff2f · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:17:00.937786Z

Source-reported events for the cited work

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Observation 7ec44f1f-0f15-4c6d-adf2-4f65ce15fa01 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:17:00.796279Z

Source-reported events for the cited work

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Observation b08d3abf-c7ea-433f-9055-ed760b56337b · outbound

This paper cites C.; Boukouvalas, Z.; Fuge, M.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis C.; Boukouvalas, Z.; Fuge, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:17:00.707790Z

Source-reported events for the cited work

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Observation e541c9ba-1d32-44ca-ae56-641e19f8f124 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:17:00.561003Z

Source-reported events for the cited work

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Observation 2987a22a-ebe8-4a3f-bd13-6b19ada8797b · outbound

This paper cites S.; Riley, P.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis S.; Riley, P

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:17:00.459640Z

Source-reported events for the cited work

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Observation 651ab663-fced-40a3-b7a7-9f7f934a186c · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:17:00.355434Z

Source-reported events for the cited work

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This paper cites an unresolved cited work.

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Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:17:00.178182Z

Source-reported events for the cited work

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Observation a3900c9f-c40d-4403-864b-9b7d33f65e50 · outbound

This paper cites Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:53.030213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24213923-0c39-432e-b701-02eec3b89dec · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:17:00.059133Z

Source-reported events for the cited work

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Observation e54c9041-5bd2-4170-ac4e-897adfda5285 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Semi-Supervised Classification with Graph Convolutional Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:53.189584Z

Source-reported events for the cited work

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This paper cites K.; Han, Y.-K.; Kang, J.; Kang, C.-J.; and Son, Y.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis K.; Han, Y.-K.; Kang, J.; Kang, C.-J.; and Son, Y

Reference 14

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This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation 5dc55e3d-4e86-4e18-bffe-2b34252b9d72 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:59.516085Z

Source-reported events for the cited work

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Observation 5a92292c-4112-4f20-9d4e-7b787a8d86e3 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:59.380459Z

Source-reported events for the cited work

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Observation a85f12dd-efe2-4fa1-96aa-96fbd8a69b35 · outbound

This paper cites A.; and Campillo, N.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis A.; and Campillo, N

Reference 18

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Source-reported events for the cited work

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Observation 5552bf49-d28f-4d7c-9d67-e3fff47cecb8 · outbound

This paper cites B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 20

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This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation 6681e530-d539-46e9-bf11-81d960529d28 · outbound

This paper cites Not Just a Black Box: Learning Important Features Through Propagating Activation Differences.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:53.897201Z

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Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:58.715150Z

Source-reported events for the cited work

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Observation c501b409-12ff-486b-a16b-8cdf3b23c0c7 · outbound

This paper cites C.; Khetan, A.; and Er, S.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis C.; Khetan, A.; and Er, S

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:58.555371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46d257b3-f54a-468a-b7c3-94429cde88f2 · outbound

This paper cites Striving for Simplicity: The All Convolutional Net.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Striving for Simplicity: The All Convolutional Net

Reference 25

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Source-reported events for the cited work

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Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3004d780-37a2-4b88-abbc-da88592570bb · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:58.174631Z

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Observation 747f3bc8-fee9-4040-b164-f1f40968c84e · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:58.022801Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f16e9eb-87e6-4f69-a1a3-8c24bf7eeb41 · outbound

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Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis R.; Brackman, E

Reference 29

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Source-reported events for the cited work

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Observation 63c22a1c-f8bb-4d08-bc79-f6a0ac8640ac · outbound

This paper cites P.; Lloyd, D.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis P.; Lloyd, D

Reference 30

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Source-reported events for the cited work

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Observation b6cdbc6c-1f6b-4892-a384-0b26116e5f87 · outbound

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Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Graph Attention Networks

Reference 31

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Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 32

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Observation b53fccfe-b845-4465-a1c5-fc81b805d2b6 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 33

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Source-reported events for the cited work

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Observation 09fb3e32-95e9-43b1-aa1b-55f580b8ad47 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 34

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Source-reported events for the cited work

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Observation 92020d32-966f-4be7-9f1e-adf51503a4e3 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:57.115137Z

Source-reported events for the cited work

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Observation aaac3660-1d17-4da7-930e-c6d4c78c5d56 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:57.013647Z

Source-reported events for the cited work

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Observation c2f6eb5b-6297-4663-8017-14a8236c4554 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:56.868734Z

Source-reported events for the cited work

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This paper cites How Powerful are Graph Neural Networks?.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis How Powerful are Graph Neural Networks?

Reference 38

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Observation 74e276d3-651f-46de-84ae-0a4bee28af3b · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 39

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Observation f9c73a05-5621-4e4a-9488-6709ce577bba · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:56.546374Z

Source-reported events for the cited work

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Observation c114c45d-c4d9-4c8c-b72b-82dc3ecb2600 · outbound

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Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Observation 15090545-e2c4-4d36-92cf-e765f098acd6 · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2b68d75-bcf2-42b7-b47f-6b7cc68bd8cf · outbound

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Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:16:56.072182Z

Source-reported events for the cited work

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Observation 4979efea-48a7-4084-b4a8-095865f9d9bd · outbound

This paper cites an unresolved cited work.

Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:55.793419Z

Source-reported events for the cited work

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Pith citing papers

Observation fc9e82cd-39bf-4203-b0fc-f1e4ebaac624 · inbound

FORGE: Fragment-Oriented Ranking and Generation for Context-Aware Molecular Optimization cites this paper.

FORGE: Fragment-Oriented Ranking and Generation for Context-Aware Molecular Optimization Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.