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Paper Citation Record · LEDGER

Binary and Ternary Quantization Can Enhance Feature Discrimination

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2504.13792.

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

pith.paper-citation-record.v1
2504.13792 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:17.844889Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9a97143-88a7-4409-8064-3ddc26cad5f8 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e6f9003f-13c2-4d06-b589-adbefe2af4ed · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:07:17.628866Z digest=sha256:24733e41e627e395c7f4a97952b827cb9ed057941fc0baee6fa1fc2b24013725

Observation d888021e-19a5-4e21-ad3a-b5f70f25a206 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 3

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8baece7d-cf40-4f19-8d3c-33090e78085f · outbound

This paper cites Cortes and V.

Binary and Ternary Quantization Can Enhance Feature Discrimination Cortes and V

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:17.636649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:07:17.636649Z digest=sha256:187fb213fbc4b6290c12496ef6abf1040c2cc60adf6ff224b663076d4e7d6cc9

Observation 59ef3511-2b29-4110-b742-850910586778 · outbound

This paper cites Courbariaux, Y.

Binary and Ternary Quantization Can Enhance Feature Discrimination Courbariaux, Y

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:07:18.502426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.642566Z digest=sha256:ab82cc2c3f73414605c9a67413602c91ae2699d3706a2a985e7162baf12968ec

Observation edebfde3-8222-464b-9565-662e901a0fae · outbound

This paper cites Dasgupta, C.

Binary and Ternary Quantization Can Enhance Feature Discrimination Dasgupta, C

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.648904Z digest=sha256:4e17d55dd701e56e833de027bee7b6f871f9c2972da0d3a04657421095af5edd

Observation 631082ee-963b-40df-b1ac-b5f6c139f21b · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:07:18.478019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fd1512a4-3623-473d-90eb-0ed96248015e · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:07:18.465759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.657549Z digest=sha256:a5558b6699b0420532c43d9845b4f91715e64979d7a18ac592909f4d90382f34

Observation 25288529-339e-4df3-990f-13aa5f9c400e · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0af8d2de-368a-48f0-a066-542a816e894d · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:07:18.439808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.670316Z digest=sha256:89048f5e4139aae8054037ae357a2acdfbe027acead386b282d62908c8234457

Observation aafe11bc-9a71-4fcb-b794-04d851454b87 · outbound

This paper cites Gholami, S.

Binary and Ternary Quantization Can Enhance Feature Discrimination Gholami, S

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 2026-08-19T06:32:44.657259+00:00.

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Observation 380f55de-8a44-44f4-b734-059750db7d65 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.677983Z digest=sha256:67f4ca97cfca7b49ece18a5f7c93e1c2be7dd4269ef3798dba72c1b2b377d08c

Observation d1eab113-ea57-447a-b092-2bc3809b174f · outbound

This paper cites Haufe, R.

Binary and Ternary Quantization Can Enhance Feature Discrimination Haufe, R

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2a7a5af1-f999-4e23-ba9e-5ce10f67f394 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:17.695853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:07:17.695853Z digest=sha256:aadc71476f0a48a8d32dc0199fd44faef3f107a07ab433a37eb684414d55301f

Observation aea56153-44de-4079-bd01-6cfc773335d7 · outbound

This paper cites Hoefler, D.

Binary and Ternary Quantization Can Enhance Feature Discrimination Hoefler, D

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.700281Z digest=sha256:bf5ea29ad9c1af4fa28f31853c29860e4eec2921eb468bf998ab7f46f7d2b198

Observation 9b57e2b5-4a1e-4101-a769-e2518d5b161b · outbound

This paper cites Hutchinson, L.

Binary and Ternary Quantization Can Enhance Feature Discrimination Hutchinson, L

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:07:18.355883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.705852Z digest=sha256:0b8f54fcc9cdcc0258ba1d78321d09d1254a20ffad6c4e19a235c3e8709f88c3

Observation 8ed3274c-5c5b-4e67-8be3-7f9649df5026 · outbound

This paper cites Jana and P.

Binary and Ternary Quantization Can Enhance Feature Discrimination Jana and P

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.710070Z digest=sha256:2191683621475a6a9c405c621dd44e1f8aa1af939192e68c6f528069d6146e6f

Observation 44f4e236-00f2-4926-a2e9-27d477dbec37 · outbound

This paper cites Jana and P.

Binary and Ternary Quantization Can Enhance Feature Discrimination Jana and P

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.716197Z digest=sha256:a6aeffd52c4c1e6383e62649729b8e51c86ead1aad9065e25181e581db18cb94

Observation bfbfc1c1-313f-4d0e-95f9-c2e2ed41533c · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.721222Z digest=sha256:07fa0b9b8a1d07e344e84a0ae11cac467d5ac13e2601617d089f1341b7c59eda

Observation 68983664-ff9e-4895-a72a-ef92c77431cc · outbound

This paper cites Krizhevsky and G.

Binary and Ternary Quantization Can Enhance Feature Discrimination Krizhevsky and G

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:17.729173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 663e94bd-fe6b-4b37-9fea-31c154aab246 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5c2f41e7-22e7-4165-9aa9-7275df3f8f0c · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:07:18.266586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 660ecb8a-0a16-4a66-b9c6-7f113456c8d5 · outbound

This paper cites Larochelle, M.

Binary and Ternary Quantization Can Enhance Feature Discrimination Larochelle, M

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 2026-08-19T06:32:44.657259+00:00.

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Observation a9ef04cf-6204-4d9b-931e-57c2e4de7260 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.756831Z digest=sha256:79fd4f90b50f5438c97bb4223711be1cc145c7f518983d0dbc8377bd0aa9f6c5

Observation 27d6d371-e468-48df-8e25-7fc0304b6373 · outbound

This paper cites Ternary Weight Networks.

Binary and Ternary Quantization Can Enhance Feature Discrimination Ternary Weight Networks

Reference 25

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:07:17.762887Z digest=sha256:c496b5494e09278171b2e96cdffa9b09394c0d46030bc5aae82206a8de1c875e

Observation f8944404-9914-46dc-86dd-28ba65e546b8 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bd275b7a-0ce8-4891-8a77-71771a4c8461 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 27

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e3135766-d580-4487-94d7-d34194ad6d40 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 28

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6985995e-1cc4-4fcf-b7a1-00d781f5902a · outbound

This paper cites Mohamed, T.

Binary and Ternary Quantization Can Enhance Feature Discrimination Mohamed, T

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a939f7b-ef0d-4f26-a686-4b2d0e60da26 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d272d453-56f7-49b3-b212-bfdd40f440c4 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 31

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 07241c40-ca8b-4941-81d7-5a5f89f0f5c0 · outbound

This paper cites Poor and J.

Binary and Ternary Quantization Can Enhance Feature Discrimination Poor and J

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8c7b1606-dd85-4fa0-b044-583da0367532 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 33

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7ba50840-03a2-4095-8116-f748da49d617 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:07:18.080015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.807340Z digest=sha256:e8527458f7a54c5c94fcb20efa7ba67c94451c185c37be0e93f8b1fc5585f0b1

Observation 5ed2d62e-cda9-4899-8c39-5b5ec6c7602a · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.813464Z digest=sha256:b44cefd4b7fb02848763ba23cb4dc1db9fa3b0b53c5d18d928c12522f7c610aa

Observation b41c7611-ae7e-4b5e-b47a-7aa6b67424a8 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Binary and Ternary Quantization Can Enhance Feature Discrimination Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:17.819642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:07:17.819642Z digest=sha256:563f178bf2189a0647212b9faf1d6916b96bb1a5a1570df9fe6fb45ea0214c37

Observation 485a553c-ee46-424f-b726-2a7810e20385 · outbound

This paper cites Srinivasamurthy and A.

Binary and Ternary Quantization Can Enhance Feature Discrimination Srinivasamurthy and A

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:07:18.032581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.826151Z digest=sha256:f66a227b766e0704efbda226e9b3d9e0bf654c7cf7afcdc38b4c3bb2a65ff176

Observation ca027be6-7637-4473-8578-961c394e670f · outbound

This paper cites Torralba and A.

Binary and Ternary Quantization Can Enhance Feature Discrimination Torralba and A

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:07:18.008461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.831295Z digest=sha256:5c78538fcbd5b3e337421ade507f10c0a3b77a920bb277b229780db2035dd8dd

Observation 0b26815d-fa2c-488f-a48c-acc560c92a17 · outbound

This paper cites an unresolved cited work.

Binary and Ternary Quantization Can Enhance Feature Discrimination Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:07:17.991433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.835413Z digest=sha256:3a39cba6e7d6d70da92bc04431d1354ad45ca89fca4a201b4b2788ab5abba86d

Observation 14c1fedb-8358-4159-ab8c-fe346d001262 · outbound

This paper cites BitNet: Scaling 1-bit Transformers for Large Language Models.

Binary and Ternary Quantization Can Enhance Feature Discrimination BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:17.839141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:07:17.839141Z digest=sha256:62dee3612afc8a4eb0ac410663f43d8f5490a96ea5252b0006375c5d12e3662b

Observation b4db3c78-3e5b-4021-bba8-cec01573dfe9 · outbound

This paper cites Weiss and W.

Binary and Ternary Quantization Can Enhance Feature Discrimination Weiss and W

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:07:17.975061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T12:07:17.844889Z digest=sha256:19359889894649b34e5c5f2190db8bfa1dd9792ec328aa8969423bbb6c2bbb99

Pith citing papers

No inbound Pith citation observations are available.