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Paper Citation Record · LEDGER

Explaining Neural Networks with Reasons

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2505.14424.

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

pith.paper-citation-record.v1
2505.14424 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:44.133910Z

measured 63 of 63 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

63 of 63 outbound references displayed

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  • verified fuzzy17
  • unresolved42
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c50847b3-4d24-477e-8b86-ff6dd642b1ca · outbound

This paper cites Bau, J.-Y.

Explaining Neural Networks with Reasons Bau, J.-Y

Reference 1

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Observation 2147c82b-471a-4d43-8879-b6247a225f2c · outbound

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 2

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Observation 41392732-e6c9-415d-ba81-d3dec697953d · outbound

This paper cites Bricken, A.

Explaining Neural Networks with Reasons Bricken, A

Reference 3

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Observation d9460b32-f943-438b-a644-b209fd11a0e0 · outbound

This paper cites Propositional Interpretability in Artificial Intelligence.

Explaining Neural Networks with Reasons Propositional Interpretability in Artificial Intelligence

Reference 4

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Observation 5b117bc2-fb92-41fc-b008-2057ef172b65 · outbound

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 5

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Observation ac9b259d-d9f8-4f94-b8d7-741dfe67bce1 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Explaining Neural Networks with Reasons Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 6

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 7

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Observation 9607cb8e-01a9-43ce-b09a-8d18a0e22a34 · outbound

This paper cites Donnelly and A.

Explaining Neural Networks with Reasons Donnelly and A

Reference 8

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Observation c743b61b-f466-4d10-9f43-1accb40c4c6e · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Explaining Neural Networks with Reasons Towards A Rigorous Science of Interpretable Machine Learning

Reference 9

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Observation c03c3f66-9ff2-485e-bc70-3cd3986ae30f · outbound

This paper cites Dutta, D.

Explaining Neural Networks with Reasons Dutta, D

Reference 10

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Observation d6a94b4d-f121-40e2-b759-d18a74681320 · outbound

This paper cites Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability.

Explaining Neural Networks with Reasons Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability

Reference 11

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Observation 67a4c67d-4570-4a5c-874b-28dfee0ef56b · outbound

This paper cites Elhage, T.

Explaining Neural Networks with Reasons Elhage, T

Reference 12

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Observation 58436070-27ca-413f-972d-6b64f58a7b78 · outbound

This paper cites Feldman, S.

Explaining Neural Networks with Reasons Feldman, S

Reference 13

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Observation e23a1429-a9c2-4f0a-9a4b-bbf2b4071e01 · outbound

This paper cites NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals.

Explaining Neural Networks with Reasons NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 14

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 15

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 16

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Observation d99d4c7e-f9a4-41ba-91f8-a5989facecd4 · outbound

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 17

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Observation 2c6ea6f2-c437-4460-b979-362ac748b6c1 · outbound

This paper cites Frigg and J.

Explaining Neural Networks with Reasons Frigg and J

Reference 18

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Observation 8240af5a-2aed-4c27-985e-c4e89b35704f · outbound

This paper cites Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability.

Explaining Neural Networks with Reasons Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

Reference 19

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Observation b69d583e-161f-4298-8dac-199825327718 · outbound

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 20

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Observation 610d9bef-ecd5-4991-b01e-d139e3da44e7 · outbound

This paper cites Causal Abstractions of Neural Networks.

Explaining Neural Networks with Reasons Causal Abstractions of Neural Networks

Reference 21

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Explaining Neural Networks with Reasons Hardt, E

Reference 22

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 23

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 24

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 25

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Explaining Neural Networks with Reasons Howard and M

Reference 26

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 27

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Explaining Neural Networks with Reasons LeCun, L

Reference 28

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 29

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Explaining Neural Networks with Reasons Ioffe and C

Reference 30

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Explaining Neural Networks with Reasons Loshchilov and F

Reference 31

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Explaining Neural Networks with Reasons The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 32

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 33

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Explaining Neural Networks with Reasons McInnes, J

Reference 34

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 35

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Explaining Neural Networks with Reasons McCulloch and W

Reference 36

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 37

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Explaining Neural Networks with Reasons Unresolved cited work

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Explaining Neural Networks with Reasons Unresolved cited work

Reference 39

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Observation 49091e9f-edb3-4264-b51d-c3527e328cc4 · outbound

This paper cites A Philosophical Introduction to Language Models - Part II: The Way Forward.

Explaining Neural Networks with Reasons A Philosophical Introduction to Language Models - Part II: The Way Forward

Reference 40

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no resolver link, observed 2026-08-07T15:42:41.990066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 46e9ee7c-fce4-4ac5-bd8e-72ae4faa89ed · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 41

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unresolved
no resolver link, observed 2026-08-07T15:42:42.439535Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:42:42.439535Z digest=sha256:35eb10edcab145cf6a4750b9790127c80dfa30f63e61d8fd5508a9bfbe84d8e9

Observation 1b548397-e705-4d77-a7bd-301a6c3dae4a · outbound

This paper cites Learning to Generate Reviews and Discovering Sentiment.

Explaining Neural Networks with Reasons Learning to Generate Reviews and Discovering Sentiment

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.556830Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:42:42.556830Z digest=sha256:bbe66d3cd70702b279dd5c030988d6235d343cb8a0623dafc667245f1230c3f6

Observation 466fef54-39b4-4c46-bd4e-a963e978102a · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 43

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unresolved
raw_fallback, observed 2026-08-07T15:42:48.217545Z

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 50b473d3-25ca-44cd-9ce2-586c3ff1cd86 · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 44

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.362637Z digest=sha256:8eeaaea1a208367232ac2630ddd1075b40aafd3b76c00f29d5b90a3ff1b7c3cf

Observation 0c9243da-7633-4353-9c8a-6a4690879855 · outbound

This paper cites Smolensky.

Explaining Neural Networks with Reasons Smolensky

Reference 45

Resolution
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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 afd4365d-a00e-4be1-9af8-c536d3a0c106 · outbound

This paper cites Socher, A.

Explaining Neural Networks with Reasons Socher, A

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation ebc60bed-e5ae-48ec-99da-18792c603786 · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 47

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 17d25d3c-4e7f-4c85-a8bf-1e781629354c · outbound

This paper cites Open Problems in Mechanistic Interpretability.

Explaining Neural Networks with Reasons Open Problems in Mechanistic Interpretability

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.738291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.738291Z digest=sha256:de9af31fd73e3eaac3bcfa33bbc0457b95f09f3036141511ab9c23d90b3c56bf

Observation 2fa229e2-82d8-4189-aef6-6b64202a5455 · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:47.474892Z

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 dac32839-8eb1-4d63-8629-18c127c9822d · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:47.272765Z

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=2026-08-07T15:42:43.340622Z digest=sha256:188fe87506da8a835023f52ce1735351a058cf1c000c417168ff127fd2d68599

Observation 4ba75f55-bb5d-4270-a281-88350367ed45 · outbound

This paper cites Templeton, T.

Explaining Neural Networks with Reasons Templeton, T

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:47.795758Z

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=2026-08-07T15:42:43.038276Z digest=sha256:b97737ccff5c3f0310af23517257d3b1de7932e301efa2abbacdbe1b878c64a9

Observation 30b54b59-0547-4ee7-8987-439033faafcc · outbound

This paper cites Van der Maaten and G.

Explaining Neural Networks with Reasons Van der Maaten and G

Reference 52

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no resolver link, observed 2026-08-07T15:42:43.139093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:43.139093Z digest=sha256:4a1b30e0368d809a0aaafc54b23c94cd0a515adaa0f016bd591eebf4ecf16931

Observation 28d68ef3-d030-44f4-aa6b-b6e041fc7665 · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:47.147162Z

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=2026-08-07T15:42:43.447187Z digest=sha256:d7330a9d8777d7f33ae55add7a3862487074f57c87fc71191c1b55502d44e0da

Observation 0eea852e-71d1-425b-b3f0-7ada8843d5f6 · outbound

This paper cites Zhang and N.

Explaining Neural Networks with Reasons Zhang and N

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:47.019144Z

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=2026-08-07T15:42:43.557816Z digest=sha256:e53773ca77d50adb717801bbd00ad80c3e36fd39e3534254ff05afc249fe06c1

Observation b22cce00-49e2-402f-a58c-902cec63b831 · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 57

Resolution
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raw_fallback, observed 2026-08-07T15:42:46.826110Z

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=2026-08-07T15:42:43.617532Z digest=sha256:a490afdfa7faa68a52dd398864a363622db3a90ae6ab8ac8f890d44a89ded0fd

Observation f077a251-1ed8-4bf6-88da-e077fd1b8210 · outbound

This paper cites Each has 10 input neurons (for the 10 features) and 1 output neuron (indicating positive or negative classification) and uses ReLU as activation function.

Explaining Neural Networks with Reasons Each has 10 input neurons (for the 10 features) and 1 output neuron (indicating positive or negative classification) and uses ReLU as activation function

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:46.659159Z

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=2026-08-07T15:42:43.731682Z digest=sha256:f605f81d4f6fc1a2d7c5690a16c17b07e9c7e50eaf9f420936f05b50e54c282a

Observation a663b697-5650-4f05-86f6-68e7384b9849 · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:46.504343Z

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 b305d99c-809e-4ab1-8185-55bdcc3ec748 · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:46.318272Z

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 a0d754ae-483f-47f0-b84c-13e3c3c8b64b · outbound

This paper cites We test all combinations of the following hyperparameters:.

Explaining Neural Networks with Reasons We test all combinations of the following hyperparameters:

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:46.142844Z

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=2026-08-07T15:42:43.934256Z digest=sha256:9e8699d17415a2f5085f86d6c7a145fd8da00bec2a896aacbf5f09fecb68ec84

Observation 0f35765a-b136-474e-abe1-e4083ec05762 · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:45.949112Z

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=2026-08-07T15:42:44.021681Z digest=sha256:a37c67ab9608c16ab990356387a9962fa8926233168e945f699b9e44a1e1fd1b

Observation 4bf36b50-abb3-4a48-91be-fefeec32324f · outbound

This paper cites We train with binary cross entropy loss (with logits) using AdamW [31].

Explaining Neural Networks with Reasons We train with binary cross entropy loss (with logits) using AdamW [31]

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:45.727392Z

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=2026-08-07T15:42:44.133910Z digest=sha256:7b95590d5dc694db668369e4a8979319e63bc724b328bd073016a8b1da229421

Observation 9e3e8bda-f2f8-432a-b89b-90a4ec40952d · outbound

This paper cites an unresolved cited work.

Explaining Neural Networks with Reasons Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:52.079752Z

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=2026-08-07T15:42:38.954171Z digest=sha256:a60e230899246b17cb33cfc4464ebff07623c168a49cc37f243deaff68cefcf8

Observation 21cd4269-44bb-488c-95d4-fdb4a730af08 · outbound

This paper cites URL https://www.pnas.org/doi/abs/10.

Explaining Neural Networks with Reasons URL https://www.pnas.org/doi/abs/10

Reference 2022

Resolution
verified exact
doi, observed 2026-08-07T15:42:44.758263Z

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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Pith citing papers

No inbound Pith citation observations are available.