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Paper Citation Record · LEDGER

When SAM2 Meets Video Shadow and Mirror Detection

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.19293.

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

pith.paper-citation-record.v1
2412.19293 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:46:41.500491Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

38 of 38 outbound references displayed

  • verified exact3
  • verified fuzzy21
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 937867b5-fb26-4433-b6f3-9596dc0c3dec · outbound

This paper cites Segment Anything.

When SAM2 Meets Video Shadow and Mirror Detection Segment Anything

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.298641Z digest=sha256:6ac096a7d4181e3667c184c314215afb3317453cb08c57f45b9238ea9b3de16a

Observation 396c8741-3c9b-4c9a-85a0-749e73866b13 · outbound

This paper cites SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More.

When SAM2 Meets Video Shadow and Mirror Detection SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.304629Z digest=sha256:bccbdc2d3e74e1a9abaf446ed26726a69f7f247ce9c2340a03d0230942f0bf12

Observation 199cc126-3032-42d6-911b-408a9db64852 · outbound

This paper cites Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.

When SAM2 Meets Video Shadow and Mirror Detection Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.310768Z digest=sha256:e57b05e47d33f7393dc961f792183682d519c62f3da9925efb61390402114dbe

Observation 718ba158-8ce6-4d8d-9db5-7854f2c1e8e6 · outbound

This paper cites Underwater Camouflaged Object Tracking Meets Vision-Language SAM2.

When SAM2 Meets Video Shadow and Mirror Detection Underwater Camouflaged Object Tracking Meets Vision-Language SAM2

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.317658Z digest=sha256:1db8788f064775795923c56c37ed91a4875082567c184c2281f2c9b0ae8f6823

Observation f4c155b5-7de9-4c96-922c-0f47be99cd32 · outbound

This paper cites When SAM Meets Shadow Detection.

When SAM2 Meets Video Shadow and Mirror Detection When SAM Meets Shadow Detection

Reference 5

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verified exact
local_arxiv, observed 2026-08-11T00:46:41.952800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.323718Z digest=sha256:694cec5f7183a5c8ccaf06270ef9347dfb4b1f988189e7d7a0f3d87396b29aac

Observation 996cc93e-c724-45b0-a2f3-b97b5812aedc · outbound

This paper cites Segment anything in medical images,.

When SAM2 Meets Video Shadow and Mirror Detection Segment anything in medical images,

Reference 6

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no resolver link, observed 2026-08-11T00:46:41.329399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.329399Z digest=sha256:2f142d6c551c965c8c5924001ab6c7389d5991731dc209f713836c09604af3aa

Observation 67ac5057-0d1a-498c-9427-50346f20694c · outbound

This paper cites Segment anything model for medical image analysis: an experimental study,.

When SAM2 Meets Video Shadow and Mirror Detection Segment anything model for medical image analysis: an experimental study,

Reference 7

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raw_fallback, observed 2026-08-11T00:46:42.423947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.335379Z digest=sha256:54e8b824639100085411a1a32c9df21d288ee9b8e9ccf2e793c9f58411100ca6

Observation 126e310e-d310-49dc-8099-bb39e0596245 · outbound

This paper cites Samrs: Scaling-up remote sensing segmentation dataset with segment anything model,.

When SAM2 Meets Video Shadow and Mirror Detection Samrs: Scaling-up remote sensing segmentation dataset with segment anything model,

Reference 8

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raw_fallback, observed 2026-08-11T00:46:42.407014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.340420Z digest=sha256:dded827b87086a10e8d54726022fdd2eb55375ae40a542b5842be9c7a1d2ff24

Observation aa479bf1-46ba-4d61-8838-79a24818c9be · outbound

This paper cites The segment anything model (sam) for remote sensing applications: From zero to one shot,.

When SAM2 Meets Video Shadow and Mirror Detection The segment anything model (sam) for remote sensing applications: From zero to one shot,

Reference 9

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raw_fallback, observed 2026-08-11T00:46:42.391195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.345203Z digest=sha256:9e4cbbbc5f7113cd7643c3683b869cd2611f784bc6570a4c6d923342bb894e68

Observation 065eabc7-4679-4235-a45b-d1db31b4cc50 · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

When SAM2 Meets Video Shadow and Mirror Detection Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.350027Z digest=sha256:687c4b8e7521eabceb4c467d714dbc6c4a83a3035ddd921ab74e46a58740b8bf

Observation 01967ce5-e1c9-4268-bd2d-4483b78ca739 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

When SAM2 Meets Video Shadow and Mirror Detection LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.355277Z digest=sha256:959367a91c22cf54ff80fc88027f7734fd663853752ee266a84e9bfeed99c109

Observation bfb52543-761a-4542-8f79-e7db71f03806 · outbound

This paper cites AdapterShadow: Adapting Segment Anything Model for Shadow Detection.

When SAM2 Meets Video Shadow and Mirror Detection AdapterShadow: Adapting Segment Anything Model for Shadow Detection

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.361293Z digest=sha256:4c31b4c7afb43573f103f123147e9306b06e8e7471ed029bd5b70bb3362ff186

Observation 882f98a6-1f03-4098-9de4-3142d7c50b1e · outbound

This paper cites Make seg- ment anything model perfect on shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Make seg- ment anything model perfect on shadow detection,

Reference 13

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raw_fallback, observed 2026-08-11T00:46:42.374555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.366245Z digest=sha256:c5ac40ce04613b3845541f0bcf2172a648a6ea16f229d5622de07562d429c00c

Observation 0cb31ff2-c329-40e9-a660-084d1a83b222 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

When SAM2 Meets Video Shadow and Mirror Detection Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 14

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no resolver link, observed 2026-08-11T00:46:41.371655Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.371655Z digest=sha256:d304bab418d8f68a9ba20325b3950bbfa1fc0105d56a551b9c0b1545a206144b

Observation f0bcbcad-47d1-41ef-8597-56331bb83b68 · outbound

This paper cites 3dsam-adapter: Holistic adaptation of sam from 2d to 3d for promptable tumor segmentation,.

When SAM2 Meets Video Shadow and Mirror Detection 3dsam-adapter: Holistic adaptation of sam from 2d to 3d for promptable tumor segmentation,

Reference 15

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raw_fallback, observed 2026-08-11T00:46:42.357366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.376899Z digest=sha256:5aa28ddb1bf9310785b9bbf1beaf081b9273d6abcb70e8ef992932df4a135b82

Observation 25548974-fb77-4d3c-9606-f77c27b19296 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

When SAM2 Meets Video Shadow and Mirror Detection SAM 2: Segment Anything in Images and Videos

Reference 16

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no resolver link, observed 2026-08-11T00:46:41.381854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.381854Z digest=sha256:6d2b04dbcf9dc75e16e381bd9b638556050e70654768fd4f6233782a0982e4ed

Observation 3d19fde6-467a-4af9-b83a-15d3f6a694b6 · outbound

This paper cites SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.

When SAM2 Meets Video Shadow and Mirror Detection SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 17

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no resolver link, observed 2026-08-11T00:46:41.386886Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.386886Z digest=sha256:5a501bf7119325031b6c332628e782cde3e0754bf84ab9f5216821e28e66e07e

Observation fff2a989-5f73-43b1-b877-471967ffdd95 · outbound

This paper cites Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2.

When SAM2 Meets Video Shadow and Mirror Detection Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2

Reference 18

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verified exact
local_arxiv, observed 2026-08-11T00:46:41.827050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.391906Z digest=sha256:619a529c9ef8c4585fd2fe7a490eb028813d2864d5b0bd47a88146cb2f792ebf

Observation 8e005e2a-2a53-411d-868f-4bddc4547014 · outbound

This paper cites Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation,.

When SAM2 Meets Video Shadow and Mirror Detection Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation,

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.396927Z digest=sha256:e05da0bf5fab812fb948c5ccfe0fed76f03979ff53a55174fd14c856506eb18c

Observation f1f1023c-d46c-4c3e-9a80-df51991c4cd1 · outbound

This paper cites When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation.

When SAM2 Meets Video Shadow and Mirror Detection When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.401919Z digest=sha256:ba49afa3189a4155118b4dd3881eafe3d0cb1a886538e058d2a58628cd05df33

Observation 880a2892-126b-4555-9ba5-b55e161e3c5c · outbound

This paper cites Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment.

When SAM2 Meets Video Shadow and Mirror Detection Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment

Reference 21

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no resolver link, observed 2026-08-11T00:46:41.407535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.407535Z digest=sha256:77fad7f514acd390cfb7636c892adba74f9903b876fbf7f127f8c75ba1036e44

Observation a321ab16-0cd2-4f71-87f2-a7d19b22827a · outbound

This paper cites Triple- cooperative video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Triple- cooperative video shadow detection,

Reference 22

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raw_fallback, observed 2026-08-11T00:46:42.339132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.413387Z digest=sha256:a4067bb101eba7bea0ca2cd1e476bb2a1fbeb3cd9dd71c940d2face689b2dbba

Observation 1781fe83-40c5-42ca-b80b-dabeeecb4392 · outbound

This paper cites Learning to detect mirrors from videos via dual correspondences,.

When SAM2 Meets Video Shadow and Mirror Detection Learning to detect mirrors from videos via dual correspondences,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.419023Z digest=sha256:b445a2df92d71b562cdd9596fa58ec255f9edaabf9dab4a5ab58edce96bdb441

Observation 519944c2-b346-4f9e-8413-f88851759630 · outbound

This paper cites Temporal Feature Warping for Video Shadow Detection.

When SAM2 Meets Video Shadow and Mirror Detection Temporal Feature Warping for Video Shadow Detection

Reference 24

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local_arxiv, observed 2026-08-11T00:46:41.548214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.423903Z digest=sha256:f011676cc0bd580142da245a6eca45e45a2fe2abbc7d4880ec2393d408fa38d5

Observation 134a41be-5059-41f9-9d67-e709b8834691 · outbound

This paper cites Spatial-temporal fusion network for fast video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Spatial-temporal fusion network for fast video shadow detection,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.428746Z digest=sha256:1de4076836fb934e45c101f34b768578e2c1df36952e03cd5a4707ce5abd7e39

Observation ebed49d8-0724-4fd7-be7d-d608a3ab2258 · outbound

This paper cites Video shadow detection via spatio-temporal interpolation consistency training,.

When SAM2 Meets Video Shadow and Mirror Detection Video shadow detection via spatio-temporal interpolation consistency training,

Reference 26

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raw_fallback, observed 2026-08-11T00:46:42.280717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.433779Z digest=sha256:bdfddb83351467c7cbe7ca1d240aa138d0b94624328750cd803d70d819edc1f2

Observation 0d8e731f-7942-428b-a74e-73de9c308e9e · outbound

This paper cites Learning shadow correspondence for video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Learning shadow correspondence for video shadow detection,

Reference 27

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raw_fallback, observed 2026-08-11T00:46:42.262565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.438856Z digest=sha256:f52db4389c1a6b86e55dfc4810fe3543e1ca8abe1a6c3f67beb99bfa78154045

Observation 421ef7ef-82be-4ea1-b1f6-8e7177c90c66 · outbound

This paper cites Semi-supervised video shadow detection via image-assisted pseudo-label generation,.

When SAM2 Meets Video Shadow and Mirror Detection Semi-supervised video shadow detection via image-assisted pseudo-label generation,

Reference 28

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raw_fallback, observed 2026-08-11T00:46:42.245486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.444392Z digest=sha256:820863e7fd5f8200a594a6a93f7155c08b7859090c68a5f2bd567f0d783065a3

Observation da69fe21-c279-46e5-ab14-692f34b53566 · outbound

This paper cites Scotch and soda: A transformer video shadow detection framework,.

When SAM2 Meets Video Shadow and Mirror Detection Scotch and soda: A transformer video shadow detection framework,

Reference 29

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raw_fallback, observed 2026-08-11T00:46:42.228436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.449318Z digest=sha256:6c65a7c870bff0855bf2aee5a1773196b5f83dc54c5ded2050ffadaaf75d5c08

Observation 459287de-d280-43d8-8fea-e656c4a93808 · outbound

This paper cites Detect any shadow: Segment anything for video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Detect any shadow: Segment anything for video shadow detection,

Reference 30

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raw_fallback, observed 2026-08-11T00:46:42.209957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.454576Z digest=sha256:7924a241e81ec8ed4821874ce04447e2c8b077fbe90bc6775f0ecf1e58d7c351

Observation a006224d-33b8-42e2-b424-34b965936db0 · outbound

This paper cites Timeline and boundary guided diffusion network for video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Timeline and boundary guided diffusion network for video shadow detection,

Reference 31

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raw_fallback, observed 2026-08-11T00:46:42.186834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.459320Z digest=sha256:1b9d83577055d4599b390ef4514cd1841744a28be6300d327707e79c9ba610a0

Observation 67c5e0aa-30ef-4f43-b809-1043b75e07b7 · outbound

This paper cites Learning motion-guided multi-scale memory features for video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Learning motion-guided multi-scale memory features for video shadow detection,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.163539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.464605Z digest=sha256:92347926ce6b85f5094fe4e19a369babcd0e756e2f3ccfd6b4ed765e4bb4e2d5

Observation 5c64b9bc-d700-4529-b391-7f6837000f2d · outbound

This paper cites Two-stage video shadow detection via temporal-spatial adaption,.

When SAM2 Meets Video Shadow and Mirror Detection Two-stage video shadow detection via temporal-spatial adaption,

Reference 33

Resolution
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raw_fallback, observed 2026-08-11T00:46:42.144634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.470264Z digest=sha256:40b83fddb66380528423aed8494c1ab16cdc6999bcec84d7f99d1ca2a52dd7a0

Observation e6d65c23-3f34-4aee-bfba-0f14647fe034 · outbound

This paper cites Structure-aware spatial- temporal interaction network for video shadow detection.

When SAM2 Meets Video Shadow and Mirror Detection Structure-aware spatial- temporal interaction network for video shadow detection

Reference 34

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raw_fallback, observed 2026-08-11T00:46:42.124281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.477797Z digest=sha256:afdce2f3120c00b113a5d9667aaa5dabc52dd0400214fc78b22a9ad96874100c

Observation 85ea366b-5b47-4e36-91f5-85d2f64c8a29 · outbound

This paper cites Effective video mirror detection with inconsistent motion cues,.

When SAM2 Meets Video Shadow and Mirror Detection Effective video mirror detection with inconsistent motion cues,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.106334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.483629Z digest=sha256:e0cb217494d42ebf1f67d6c175aafa13609bc6c8215abc6e8abb4d4f7393ec06

Observation 72fef714-a946-4c86-a805-fcd6820af046 · outbound

This paper cites Zoom: Learning video mirror detection with extremely-weak supervision,.

When SAM2 Meets Video Shadow and Mirror Detection Zoom: Learning video mirror detection with extremely-weak supervision,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.086164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.490457Z digest=sha256:24af5549f7e7c3386c2c8488c06dbe33e04f077e5c1cc1fa2712044451d2ad3d

Observation e6233b7d-2a34-4b0b-84b0-7d3e00b74cb8 · outbound

This paper cites Fusion of short-term and long- term attention for video mirror detection,.

When SAM2 Meets Video Shadow and Mirror Detection Fusion of short-term and long- term attention for video mirror detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.066238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.495683Z digest=sha256:9b9d869b119f4c7ddadb576412e1bfb57f947e0544b65729aea29e28e4ec6101

Observation 05971109-200b-4383-aea5-d0b118885698 · outbound

This paper cites Farther than mirror: Explore pattern-compensated depth of mirror with temporal changes for video mirror detection.

When SAM2 Meets Video Shadow and Mirror Detection Farther than mirror: Explore pattern-compensated depth of mirror with temporal changes for video mirror detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.045248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.500491Z digest=sha256:3364b0d722abde589b135b46537cd070c7aea36921e7291f3581b7c5d3929f88

Pith citing papers

No inbound Pith citation observations are available.