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Paper Citation Record · LEDGER

Rethinking Explainability in the Era of Multimodal AI

As of 12 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 5 inbound Pith citation observations for arXiv:2506.13060.

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

pith.paper-citation-record.v1
2506.13060 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:29.029561Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:02:59.058102Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:56:27.425584Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact1
  • verified fuzzy61
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3af1c08a-96a0-4a21-a3c9-502787544d37 · outbound

This paper cites Phi-3 technical report: A highly capable language model locally on your phone.

Rethinking Explainability in the Era of Multimodal AI Phi-3 technical report: A highly capable language model locally on your phone

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.259576Z digest=sha256:ef1ec6489dc851eb8b008d066635025601c86689aea0b55480b546b4b845bf7d

Observation e9e195e2-7211-4c68-b92a-70e74d175dd7 · outbound

This paper cites Explaining image classifiers by removing input features using generative models.

Rethinking Explainability in the Era of Multimodal AI Explaining image classifiers by removing input features using generative models

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.654111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.303733Z digest=sha256:61fa7e20731a3d5befa59e7ac558e6e8787e6ad23984625ad7f85a4e3c0b5b51

Observation 984070d2-2f36-4156-8336-e40bc6dbc97f · outbound

This paper cites Rethinking stability for attribution-based explanations.

Rethinking Explainability in the Era of Multimodal AI Rethinking stability for attribution-based explanations

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.367380Z digest=sha256:b4d787064b0b97c42168dd6454c131b8a69008e3c0b5b0c6faa69916ff951bea

Observation dac50e95-3d98-4e19-9891-d72c32325bb1 · outbound

This paper cites Openxai: Towards a transparent evaluation of model explanations.

Rethinking Explainability in the Era of Multimodal AI Openxai: Towards a transparent evaluation of model explanations

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.637512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.439224Z digest=sha256:b0121f7b54be4b6e3d7772e3af2d7907654f41c9417d252cf6740ea1197fa54e

Observation ba26f6be-8964-426e-ac0a-ff778ea3e087 · outbound

This paper cites Probing gnn explainers: A rigorous theoretical and empirical analysis of gnn explanation methods.

Rethinking Explainability in the Era of Multimodal AI Probing gnn explainers: A rigorous theoretical and empirical analysis of gnn explanation methods

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.504216Z digest=sha256:39a5d0ba4f3c79f13f5c36cf9d95f1b5d44aa3e66dbe6f83f733663f7419049d

Observation 0d929ea4-407b-42d5-b2ee-e84abde6576f · outbound

This paper cites Evaluating explainability for graph neural networks.

Rethinking Explainability in the Era of Multimodal AI Evaluating explainability for graph neural networks

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.571972Z digest=sha256:b6625517c53f2bdf86af4511985249e04cbac425817cb8a45bd82584eeba41e0

Observation 68a648b3-10ac-47c0-9a67-1d34044f88a8 · outbound

This paper cites Faithfulness vs.

Rethinking Explainability in the Era of Multimodal AI Faithfulness vs

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.613439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.626366Z digest=sha256:0703779d51ba565de969ac350d16a3ebe3f422ae7b0e17aed455aea3255596ce

Observation e80cc26b-6ede-4b8c-b393-ea0cbb901c9f · outbound

This paper cites On the robustness of interpretability methods.

Rethinking Explainability in the Era of Multimodal AI On the robustness of interpretability methods

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.605272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.686232Z digest=sha256:6b40a044e26241b4fff1cffd6ad2fa3f3ea592de5dd5da86b137533d7b5fb9b6

Observation 2bfe0cc6-178d-49d3-830a-23b811035518 · outbound

This paper cites an unresolved cited work.

Rethinking Explainability in the Era of Multimodal AI Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:26.788163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:26.788163Z digest=sha256:7574eeba64ce74ff0b164e54e90b267a4fb92bbe4a22eba826cd1000bd8edb0d

Observation b30ca549-e23c-44cd-b4d1-2a5e5bf906ef · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

Rethinking Explainability in the Era of Multimodal AI Bottom-up and top-down attention for image captioning and visual question answering

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:26.837211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:26.837211Z digest=sha256:17b677bcac72c2a397e6ab507fe141baef24957c48d4e23af6a48bc3adcfb251

Observation 8b72fe31-4c9f-41bd-a6f8-07b01590d325 · outbound

This paper cites Mechanistic interpretability for ai safety--a review.

Rethinking Explainability in the Era of Multimodal AI Mechanistic interpretability for ai safety--a review

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.841808Z digest=sha256:ef303a45799d89c3403afeefb6a4cd543443c4e62692cbbd67adf0dcef112bf2

Observation e9b0ca62-89ea-4dad-96fa-822135289895 · outbound

This paper cites Interpreting clip with sparse linear concept embeddings (splice).

Rethinking Explainability in the Era of Multimodal AI Interpreting clip with sparse linear concept embeddings (splice)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.578548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:26.932780Z digest=sha256:a254953a3bbffb65e379024cfdc70b3e0af3964e634f1bf14e2ab26d1e2b235a

Observation 9330670c-f551-4adf-8165-41ac0533e532 · outbound

This paper cites A systematic review of natural language processing applied to radiology reports.

Rethinking Explainability in the Era of Multimodal AI A systematic review of natural language processing applied to radiology reports

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.570777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:27.061666Z digest=sha256:c0160893d9c9f8da053b30e4aa25940debdeaf4402a2a5bc4c9508b4f1ac0597

Observation 71c8d4e4-7cbe-4f11-8b8a-63ddd07767e2 · outbound

This paper cites Fleurs: Few-shot learning evaluation of universal representations of speech.

Rethinking Explainability in the Era of Multimodal AI Fleurs: Few-shot learning evaluation of universal representations of speech

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:27.132449Z digest=sha256:36f6e7af7cf65bc32a719ced5cedcbfb6c3270f2ab2f15735bf9ead4cca91c9e

Observation ff5ae73b-a5ee-420c-80b2-f58a98d2e890 · outbound

This paper cites Sparse autoencoders find highly interpretable features in language models.

Rethinking Explainability in the Era of Multimodal AI Sparse autoencoders find highly interpretable features in language models

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.552564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:27.333489Z digest=sha256:fb3ca29b0aae7a0d389daa1f9ce17f912edf266df8621fb7e5f5bd17d9b28b8f

Observation b83aca68-c528-4830-a315-44dc01d2732c · outbound

This paper cites A survey of the state of explainable AI for natural language processing.

Rethinking Explainability in the Era of Multimodal AI A survey of the state of explainable AI for natural language processing

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.543988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:27.527518Z digest=sha256:4fcc24683cd036c3ca54a44d1584841189cf3bf63f86c31b2b12213463d5ac60

Observation 5c4b732f-1d9d-44a5-a94e-5e23da05d5cc · outbound

This paper cites Interpretable explanations of black boxes by meaningful perturbation.

Rethinking Explainability in the Era of Multimodal AI Interpretable explanations of black boxes by meaningful perturbation

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:27.657416Z digest=sha256:e15a3cd028e6e9c34a6c8d2e2a40d9390dc1c679df51a850d4c2a4ae4466cda9

Observation dd7c68a8-f836-4f07-8ee9-9d1bc5b81bec · outbound

This paper cites Attention in natural language processing.

Rethinking Explainability in the Era of Multimodal AI Attention in natural language processing

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:27.763279Z digest=sha256:465a15e45c90644f8dc82e008ccccdf2547d815a45a8fb0907a15d3e9c7b9091

Observation 2a22c5e4-73e5-4af5-8ac1-aa13a8c52e87 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Rethinking Explainability in the Era of Multimodal AI Scaling and evaluating sparse autoencoders

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:27.877776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:27.877776Z digest=sha256:afa6e28602807d15dcc7864b14b0b9a1b00c7e9915d714480e24c02942f1d749

Observation 73110066-299b-41a0-a5ba-3a79da32cd2b · outbound

This paper cites Multimodal neurons in artificial neural networks.

Rethinking Explainability in the Era of Multimodal AI Multimodal neurons in artificial neural networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:28.022494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:28.022494Z digest=sha256:4a88dd9a5ec58cc9ce1978842c634583c14163ad5480a499a66ac9699d409c01

Observation 01ec86a9-f872-4637-8b6e-28f5d28e6f45 · outbound

This paper cites Localizing model behavior with path patching.

Rethinking Explainability in the Era of Multimodal AI Localizing model behavior with path patching

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.128344Z digest=sha256:fd3719b195729624fcd43be9c529060c647e8dee2a81a92e9b6641e7dbb028d8

Observation 58b5f494-cf54-4156-b688-bddedc945355 · outbound

This paper cites circuit-tracer.

Rethinking Explainability in the Era of Multimodal AI circuit-tracer

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 53e35e70-3a07-4041-b1ee-a02db5051133 · outbound

This paper cites Sparse autoencoders can interpret randomly initialized transformers.

Rethinking Explainability in the Era of Multimodal AI Sparse autoencoders can interpret randomly initialized transformers

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.416595Z digest=sha256:05f4702c126932dfe3a9cb10eff18c9cc8e852381360d008f9c8d8ee405e9f63

Observation 27fa1c05-ccfb-4f74-8987-727c3b9967ea · outbound

This paper cites How to use and interpret activation patching.

Rethinking Explainability in the Era of Multimodal AI How to use and interpret activation patching

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8e6f692f-2762-40d5-ae90-1f88b12c21d3 · outbound

This paper cites Gpt-4o system card.

Rethinking Explainability in the Era of Multimodal AI Gpt-4o system card

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.481319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f0aa6866-6edb-45d1-8aac-b804a1dcec0c · outbound

This paper cites Attention is not explanation.

Rethinking Explainability in the Era of Multimodal AI Attention is not explanation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.473645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.725792Z digest=sha256:93c40ac1378215364123a337565e7a3c74aaddd5ab9c5a7715da8c7433a30b6e

Observation e97b0d30-c973-4b55-97ee-35d444b68328 · outbound

This paper cites Towards better explanations of class activation mapping.

Rethinking Explainability in the Era of Multimodal AI Towards better explanations of class activation mapping

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.465422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.798199Z digest=sha256:a399231ab188dd8ca4f0c71e3ceba7cd047c9dc39fa1d6a1a596f8f3372a03a4

Observation 1658005b-6abd-4e3c-b28c-f6c0d9339249 · outbound

This paper cites See what you are told: Visual attention sink in large multimodal models.

Rethinking Explainability in the Era of Multimodal AI See what you are told: Visual attention sink in large multimodal models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.456805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.900844Z digest=sha256:dd450bdca7c768694390cfa05f3fa8401ad80095f82cbefcbdc2a6c3a1f03f60

Observation b55d8e19-e710-4b8d-b0eb-24b3e9c61569 · outbound

This paper cites Are sparse autoencoders useful? a case study in sparse probing.

Rethinking Explainability in the Era of Multimodal AI Are sparse autoencoders useful? a case study in sparse probing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.448113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.903792Z digest=sha256:8a35a7f402bb88b3d9dac3f6a818f9f9883c5ec17ccc9ce4685ea46b09fdbf24

Observation 76fd0b06-a54c-44fd-9a18-11a8cf2a2735 · outbound

This paper cites Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav).

Rethinking Explainability in the Era of Multimodal AI Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.440079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.907513Z digest=sha256:f13da0371d3cd74fca43409c6d15e96488abae5f351b508811548a68616d5231

Observation a232f5b8-1e45-4dac-84d1-b0de4c5a8ee9 · outbound

This paper cites Visual explanations from hadamard product in multimodal deep networks.

Rethinking Explainability in the Era of Multimodal AI Visual explanations from hadamard product in multimodal deep networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.432182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.910613Z digest=sha256:f4f6da36681daa919d5efb0d69ff70924b000e29902fc9afa58421ed3bcc1892

Observation 2663b66b-3d31-4647-8e56-29db4b1ea64f · outbound

This paper cites Sparse autoencoders work on attention layer outputs.

Rethinking Explainability in the Era of Multimodal AI Sparse autoencoders work on attention layer outputs

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.423738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.913186Z digest=sha256:781a7a5b06878fcd29d212d51241497a0933749636fc9f2dac84e039da70e117

Observation fc111ff6-7041-490a-8150-c998f73b5d88 · outbound

This paper cites Concept bottleneck models.

Rethinking Explainability in the Era of Multimodal AI Concept bottleneck models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.415774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.915947Z digest=sha256:f0b8e66c67b6a8512098f03da54cbdae216ce240b6781674801688a97e6b3096

Observation d31aee84-5f77-4372-9004-bce8dda6e587 · outbound

This paper cites an unresolved cited work.

Rethinking Explainability in the Era of Multimodal AI Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:28.919086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:28.919086Z digest=sha256:0d4d2725bed62d4b327d59eff017b71af174ab994939e654227f6634895b7a8c

Observation bd86b7aa-387b-4539-ae63-b27b6d14e43f · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, 2025.

Rethinking Explainability in the Era of Multimodal AI The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, 2025

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.400086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.922026Z digest=sha256:a2cbfed4a50d0084c8da2a5ded01743493819d0f21e07597955e824191ea1319

Observation 6d72c13d-9cff-4836-9bb7-9c180aaa53c7 · outbound

This paper cites Dime: Fine-grained interpretations of multimodal models via disentangled local explanations.

Rethinking Explainability in the Era of Multimodal AI Dime: Fine-grained interpretations of multimodal models via disentangled local explanations

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.390166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.924634Z digest=sha256:82453557c432966b77aff76dcdacfa0dc97d91cad67da9c60b0bcbec0dcb42c6

Observation 10a7cc3b-7dee-47f0-864b-c2bffc8d1be5 · outbound

This paper cites Towards principled evaluations of sparse autoencoders for interpretability and control.

Rethinking Explainability in the Era of Multimodal AI Towards principled evaluations of sparse autoencoders for interpretability and control

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.381270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.927165Z digest=sha256:f8fd2d421cb5ff4f865a66998ffa58963fc6b0547055bc7ff20f6b00d49cc846

Observation 09701853-acbf-4520-982b-17a8998c66c5 · outbound

This paper cites K-sparse autoencoders.

Rethinking Explainability in the Era of Multimodal AI K-sparse autoencoders

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.372416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.930060Z digest=sha256:f331bde526b073bae17d9406b9ce68d2040f68f0c78c57952d744a61eae3a0b7

Observation d948b4a3-5d6f-45b6-97ac-3399c09cfbb4 · outbound

This paper cites Cora Dataset , 2017.

Rethinking Explainability in the Era of Multimodal AI Cora Dataset , 2017

Reference 39

Resolution
verified exact
doi, observed 2026-08-07T00:42:29.058540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.932484Z digest=sha256:f495d092afa9e7cdbb589ff647509098ed92e57c3cf618e0536a6d39a0bfc14d

Observation 6ad8b818-4dd1-44e7-956b-8b5643d31e81 · outbound

This paper cites Dual attention networks for multimodal reasoning and matching.

Rethinking Explainability in the Era of Multimodal AI Dual attention networks for multimodal reasoning and matching

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.363261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.936030Z digest=sha256:5cc069f9c6d0aa76d26e12c3fa3b693766d0c049e8a2cddb1621ae57ed9034bf

Observation dc8897a5-a6b7-42bc-9794-ba6034848c7b · outbound

This paper cites Attribution patching: Activation patching at industrial scale.

Rethinking Explainability in the Era of Multimodal AI Attribution patching: Activation patching at industrial scale

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.354495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.938997Z digest=sha256:03f876d0a2471647b687ea5fd5773379c0c6d8091571d216ae8ac5a7cfe71a8e

Observation 79cae0d2-f3bc-4e66-be53-19e694b72264 · outbound

This paper cites Towards interpreting visual information processing in vision-language models.

Rethinking Explainability in the Era of Multimodal AI Towards interpreting visual information processing in vision-language models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.345637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.942127Z digest=sha256:8291f8f121738e6a9e8c78927f9bafb2af0195bc705ceddbcd4b4cc2b593017d

Observation c7cbc69e-bf5e-4747-93c9-94786e7f064e · outbound

This paper cites Interpreting gpt: the logit lens — lesswrong, 2020.

Rethinking Explainability in the Era of Multimodal AI Interpreting gpt: the logit lens — lesswrong, 2020

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.336016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.945456Z digest=sha256:54a385c9c686b0ed32c1756597ffd7f1ef7f8a8bd6cf18337bc08031dc97232d

Observation d715bbb6-fe3d-4db6-a41c-bd1bd4ebd834 · outbound

This paper cites Sparse autoencoders enable scalable and reliable circuit identification in language models.

Rethinking Explainability in the Era of Multimodal AI Sparse autoencoders enable scalable and reliable circuit identification in language models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.323328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.948326Z digest=sha256:236aaddd952ef514ac98915c96015ab051b2fa4a7ce55dab6ebb0ed4e9c31aaf

Observation 2c07b905-63f8-44ea-a47f-6437fd125a97 · outbound

This paper cites Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging.

Rethinking Explainability in the Era of Multimodal AI Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.313186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.951649Z digest=sha256:8e634144fad0d135f7b128e1108740a6b8319391b3d9e6d7dec5701f9de0e39e

Observation 4800466b-dc2d-4089-a996-e299c028f495 · outbound

This paper cites Multimodal explanations: Justifying decisions and pointing to the evidence.

Rethinking Explainability in the Era of Multimodal AI Multimodal explanations: Justifying decisions and pointing to the evidence

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.303136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.954808Z digest=sha256:780bc0fa73106a3878786c484a56af1b1c7008b9813549c3f2d616626fdc3d23

Observation 4090a390-ff36-49e6-b878-5d2e5f2043e3 · outbound

This paper cites Perception test: A diagnostic benchmark for multimodal video models.

Rethinking Explainability in the Era of Multimodal AI Perception test: A diagnostic benchmark for multimodal video models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.293361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.958203Z digest=sha256:f6c5fda49272a6c684a89b65f25a2e01884c2d380590a21aa1a67337b6fd02f5

Observation 5710ee75-fc3d-4db1-b004-49210df59698 · outbound

This paper cites why should i trust you?.

Rethinking Explainability in the Era of Multimodal AI why should i trust you?

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.283504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.961538Z digest=sha256:2affaf5a53faa2d611dbc9bcc4948393f6926ed54ffb2fa64b9b0e0803b8e652

Observation 04b749df-81b9-485d-8747-39cd821ff174 · outbound

This paper cites Multimodal explainable artificial intelligence: A comprehensive review of methodological advances and future research directions.

Rethinking Explainability in the Era of Multimodal AI Multimodal explainable artificial intelligence: A comprehensive review of methodological advances and future research directions

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.273333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.964598Z digest=sha256:33122446a4ac1daf9a513e418889aad84348ab3daaa53e471eaf4789d55047a8

Observation 4a8f4d6c-f88d-40cb-9d4a-19ca03f09474 · outbound

This paper cites Grad-cam: visual explanations from deep networks via gradient-based localization.

Rethinking Explainability in the Era of Multimodal AI Grad-cam: visual explanations from deep networks via gradient-based localization

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.262818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.967477Z digest=sha256:3017e09497046a11c3c1076370269e59e699b7a5fe230179c730d6ed30c5e5f6

Observation d47a6440-9889-4321-bc0f-404e956b03d2 · outbound

This paper cites Towards a systematic evaluation of hallucinations in large-vision language models, 2025.

Rethinking Explainability in the Era of Multimodal AI Towards a systematic evaluation of hallucinations in large-vision language models, 2025

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.251109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.970368Z digest=sha256:8a598e6beba72189b7d0749b7b2ed28890f23456c44cc35a13c463eb80d644bf

Observation f7a6c207-7c7d-489a-85ba-61204051517d · outbound

This paper cites A survey on sparse autoencoders: Interpreting the internal mechanisms of large language models.

Rethinking Explainability in the Era of Multimodal AI A survey on sparse autoencoders: Interpreting the internal mechanisms of large language models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.240739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.973187Z digest=sha256:7dc090a55530641e85a57f8ee96c55539d67fcfdbac7d397a587a992ce84dc4d

Observation a04aec4a-c21a-4f5a-9ffe-21c92752d966 · outbound

This paper cites Explain and improve: Lrp-inference fine-tuning for image captioning models.

Rethinking Explainability in the Era of Multimodal AI Explain and improve: Lrp-inference fine-tuning for image captioning models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.228568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.976734Z digest=sha256:7bf30c15675a9688825362d5857e0404eec3cec9a3ff73f9053ef4125d5d3ead

Observation db11ca8e-3712-45e5-9120-7b91e1f67191 · outbound

This paper cites A review of multimodal explainable artificial intelligence: Past, present and future.

Rethinking Explainability in the Era of Multimodal AI A review of multimodal explainable artificial intelligence: Past, present and future

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.218446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.979987Z digest=sha256:fda42d99793add40c08b7f21a7947b2ec4da6acf4d2db41e60b61285f383aba0

Observation 9478184d-e968-46cf-8c69-23d1654c5cef · outbound

This paper cites Axiomatic attribution for deep networks.

Rethinking Explainability in the Era of Multimodal AI Axiomatic attribution for deep networks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:28.983629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:28.983629Z digest=sha256:6b164d4cb414124a23ceb4d98c0887faa02937972c9ead9dad965b430b39dfb6

Observation 127be7d0-9987-4a6a-9cd6-4d50222b2310 · outbound

This paper cites Gemini: a family of highly capable multimodal models.

Rethinking Explainability in the Era of Multimodal AI Gemini: a family of highly capable multimodal models

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.202394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.986797Z digest=sha256:4cf364e92b3a36013967cddc337af2ddbd7494e84318f7ed5ba2511594ac5e52

Observation a4423586-1adb-4559-a1aa-cd6104720e8d · outbound

This paper cites true features.

Rethinking Explainability in the Era of Multimodal AI true features

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.192345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.989644Z digest=sha256:0eb0c1069c113668dc507c2f8700bbb856a5eadea668198ccad919405d5289bf

Observation 26f833ad-74c0-4781-a7ba-d512b5e24463 · outbound

This paper cites Interpretable multi-modal hate speech detection.

Rethinking Explainability in the Era of Multimodal AI Interpretable multi-modal hate speech detection

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.182634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.992562Z digest=sha256:9059163ad03cd6e467a82ce0fb111453f026edbd801ce559a7405e939a2b471e

Observation 13d2d4eb-e3db-46fa-b42e-579c28644c3d · outbound

This paper cites Llms as zero-shot graph learners: Alignment of gnn representations with llm token embeddings.

Rethinking Explainability in the Era of Multimodal AI Llms as zero-shot graph learners: Alignment of gnn representations with llm token embeddings

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.172041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.996067Z digest=sha256:115edac8e07047bd46b24d56f9fb5977659259837f3cc157096e823baa313deb

Observation c4f7bf7a-9a19-401a-ad58-5cfb88c2a18e · outbound

This paper cites Interpretability-based multimodal convolutional neural networks for skin lesion diagnosis.

Rethinking Explainability in the Era of Multimodal AI Interpretability-based multimodal convolutional neural networks for skin lesion diagnosis

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.162541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:28.999392Z digest=sha256:0b00f5452e069678fcc032f98a9e1244c182194478e695b5266706394cf3a112

Observation 42b9148e-0952-4fb0-ae29-825dcfbe4189 · outbound

This paper cites M2lens: Visualizing and explaining multimodal models for sentiment analysis.

Rethinking Explainability in the Era of Multimodal AI M2lens: Visualizing and explaining multimodal models for sentiment analysis

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.153262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:29.003369Z digest=sha256:3f6370fa76db9990f76965cf481f179acbb69e0ef512bd9a84b05e0b3d040df2

Observation ebc623f6-6642-4b47-9c22-8659859ed20f · outbound

This paper cites Logitlens4llms: Extending logit lens analysis to modern large language models.

Rethinking Explainability in the Era of Multimodal AI Logitlens4llms: Extending logit lens analysis to modern large language models

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.143582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:29.006356Z digest=sha256:52c0c5127cc27c9a15e590cf888dc45ebe1caa38dcd8aa192c84adc5c88f47ca

Observation 9bbe7916-e983-4faf-8c4e-eee4039a93e8 · outbound

This paper cites Measuring cross-modal interactions in multimodal models.

Rethinking Explainability in the Era of Multimodal AI Measuring cross-modal interactions in multimodal models

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.133461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:29.009655Z digest=sha256:a6d0023f27b329645e0d1ffe859081281f02431bc84f65257ddf9785449a89f8

Observation a6605486-fd69-4385-8619-8359b4bcf3e8 · outbound

This paper cites Attention is not not explanation.

Rethinking Explainability in the Era of Multimodal AI Attention is not not explanation

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:29.012981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:29.012981Z digest=sha256:f4dea997afc386721a1f9ad8f682861d984e79a23e911893110901a56778807e

Observation bfc1f85b-657c-45ed-bdd8-e0d36f5b9e19 · outbound

This paper cites Audio-text models do not yet leverage natural language.

Rethinking Explainability in the Era of Multimodal AI Audio-text models do not yet leverage natural language

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.116161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:29.016404Z digest=sha256:1e7b0e14a15a91bb539a29d9b84c8df891016bb8aa60068b8824f3c89ab8e5e7

Observation 0872db54-30ab-424c-bda3-b1f90a1b4014 · outbound

This paper cites Visual entailment: A novel task for fine-grained image understanding.

Rethinking Explainability in the Era of Multimodal AI Visual entailment: A novel task for fine-grained image understanding

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.106824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:29.019748Z digest=sha256:8ae5ad4942434e928ce93785e380089aad291e69da89e41ead3880bf1cd50d45

Observation 09e3969f-c253-407b-9aa3-6b7149e17005 · outbound

This paper cites Gnnexplainer: Generating explanations for graph neural networks.

Rethinking Explainability in the Era of Multimodal AI Gnnexplainer: Generating explanations for graph neural networks

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.097057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:29.022997Z digest=sha256:47720c715327e718350069cbb3ebe1833dea854ca86ba147883a136ca0bb5a2e

Observation 1f6d3cff-855f-42a1-9d6c-3a80b1249434 · outbound

This paper cites Towards best practices of activation patching in language models: Metrics and methods.

Rethinking Explainability in the Era of Multimodal AI Towards best practices of activation patching in language models: Metrics and methods

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.087636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:29.026082Z digest=sha256:c76cb40161eb2e459d9d59edb95cd200f1dbbdc4cc335606524d40fdd8fe3fc6

Observation 595c6cf6-5b44-4e92-9567-798b5846efc9 · outbound

This paper cites Vlm ^ 2 -bench: A closer look at how well vlms implicitly link explicit matching visual cues.

Rethinking Explainability in the Era of Multimodal AI Vlm ^ 2 -bench: A closer look at how well vlms implicitly link explicit matching visual cues

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:29.076856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:42:29.029561Z digest=sha256:2920813264746566d2a436dacf689aed081a5ecfe61c2c8c7eb511a90e174450

Pith citing papers

Observation 849a45c3-d30a-4246-b015-ef3208f6beeb · inbound

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models cites this paper.

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models Rethinking Explainability in the Era of Multimodal AI

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:36:56.258662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T00:34:38.247099Z digest=sha256:c57f5fe099495b58e7240cb07478f09f77c49ccd3ce51cd8a1c8c7d85dc98846

Observation 3f2e7f19-a183-44d1-b173-0ae46d6dd0bc · inbound

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models cites this paper.

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models Rethinking Explainability in the Era of Multimodal AI

Reference 132

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Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability cites this paper.

Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability Rethinking Explainability in the Era of Multimodal AI

Reference 26

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arxiv_id, observed 2026-05-22T06:06:08.728672Z

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When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models cites this paper.

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models Rethinking Explainability in the Era of Multimodal AI

Reference 25

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Observation 78325e5c-d441-4171-ba4c-b955b76fb338 · inbound

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection cites this paper.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Rethinking Explainability in the Era of Multimodal AI

Reference 23

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