Pith. sign in

Paper Citation Record · LEDGER

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.25563.

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

pith.paper-citation-record.v1
2607.25563 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:09:22.850203Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa4c8a26-83ce-4a36-8d6a-9ea2ad813aad · outbound

This paper cites SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.716073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.716073Z digest=sha256:6089bf3597e7c5ca117419786b4bb754f0a03ac2f043b1ef5b4318475753bc5b

Observation e675ce32-5b7d-41ef-aad1-8374cbc851f4 · outbound

This paper cites Journal of Visual Communication and Image Repre- sentation109, 104429 (2025).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion Journal of Visual Communication and Image Repre- sentation109, 104429 (2025)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.721395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.721395Z digest=sha256:6ec40b7f3e753525d5fca16a1fb0da6490897374de85735be53babb44f50ae01

Observation a25c6f6a-ccbf-4c10-9928-cc1b19104ad3 · outbound

This paper cites In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.725260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.725260Z digest=sha256:8c14ae0197f0766b96d9f1ef371997eb1e3af04911fd675bfcd2172344b0005f

Observation ab705ca7-6b25-41e1-9a07-ee409b826722 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.729237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.729237Z digest=sha256:9b431d5c725bc3911faee79f1aa3bf1271b3e85a3174a997c9aa673979f5f965

Observation 25d0bdce-9da9-441a-83cd-0d14e43e713d · outbound

This paper cites an unresolved cited work.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.733574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.733574Z digest=sha256:613d49d683fddf901cae0e62c12ca0ba7f7bbea05bee1fb0213e01332980e61a

Observation b56489ce-21dc-468a-95d8-4023fe940eb3 · outbound

This paper cites Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.737691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.737691Z digest=sha256:e1a7daab833d3a0f26b3efe263131e9eea0013d2b92378aa421132e2d33de286

Observation fc9486dc-a678-46a9-81ca-c370e1ade002 · outbound

This paper cites In: International conference on machine learning.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: International conference on machine learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.741901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.741901Z digest=sha256:fe595873e39fed7cfd93be3c9fa9a66821a9c5e094cb7a67d72cec8ddaacb3a6

Observation 27b11985-6118-471e-8fb9-b06ed217db10 · outbound

This paper cites Language-driven Semantic Segmentation.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion Language-driven Semantic Segmentation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.746208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.746208Z digest=sha256:a653f6bbcbf05ad2346e86bd5719365e46f2cb5d5f3ee56c5a6e78bfd9bfa69b

Observation e019e3ad-f8ef-4515-9dcb-187fd7cfc1b9 · outbound

This paper cites SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.750285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.750285Z digest=sha256:9bc41802b7200d0e4350f035e92996f0ccb08502f332b7b50f563c0ea0608c72

Observation f95ace5e-3163-489e-bd55-853b5f6e60a7 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.754371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.754371Z digest=sha256:2386a26ea119580eecb990dcfaf9e59a607e635e32637836d0797df267717722

Observation 4d175164-58ec-4745-b378-797a46db0b7a · outbound

This paper cites Ad- vances in Neural Information Processing Systems35, 17612–17625 (2022).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion Ad- vances in Neural Information Processing Systems35, 17612–17625 (2022)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.758006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.758006Z digest=sha256:1dd6514e08bebb49ba5d5e9009641f0fffb12f08c0429d7fae58a99580e7ba00

Observation 995040ce-4024-486c-adbb-dd6c4c854c28 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing62, 1–16 (2024).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion IEEE Transactions on Geoscience and Remote Sensing62, 1–16 (2024)

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.761554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.761554Z digest=sha256:1e80c781e28568b47fc0a407fe4f447f87953686ecc66bc287159b07b7dba6fb

Observation 7a7b969a-510c-4b61-8924-5be0fe81e25e · outbound

This paper cites Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.765762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.765762Z digest=sha256:deb91938d4130b53bfffdd036f62d5c94126aeb6b8c3a505d88955a945ab2423

Observation 4580a369-af72-4069-8c6f-66b5c304846f · outbound

This paper cites ISPRS journal of photogrammetry and remote sensing165, 108–119 (2020).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion ISPRS journal of photogrammetry and remote sensing165, 108–119 (2020)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.769591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.769591Z digest=sha256:776fad82fab77190a9471612c7bb05f58cea9c1d9833ae4cb71a0c9bf588266e

Observation 5e10ea76-6d61-4d36-9066-412392deb4ac · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.773211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.773211Z digest=sha256:23cf95da9c9d9145846fac6a8ecb7c814670e0343abec2a44e0b15873f802d80

Observation ec430005-2c8b-4c4d-8174-c3a27c48bed8 · outbound

This paper cites In: International conference on machine learning.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: International conference on machine learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.776779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.776779Z digest=sha256:a472525a78b97da44b976c88262733ed1a23c8a0bce2450494b03994ac3aab5d

Observation 5f099c14-e710-4baf-8516-ba6d12fefa26 · outbound

This paper cites In: Artificial Intelligence for Security and Defence Applications III.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Artificial Intelligence for Security and Defence Applications III

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.780946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.780946Z digest=sha256:6027ca7c9fc882a6e34d5115f330e8333d589aa48849ac37c2de3b7373da9895

Observation d5a1e36f-92a2-484b-a56c-9de89bb6b363 · outbound

This paper cites DINOv3.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion DINOv3

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.785015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.785015Z digest=sha256:d64182e4d3b8f5bcbe31fec86c0610f65401f2cf7f98930d1fc996f959ee473d

Observation 4f40ff68-7dd6-468d-9739-d4a52988eba0 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.788924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.788924Z digest=sha256:5ecd21d1d105fa1b66db3ea4eff296dbfecef3de9ad86eeb355ea8ce0fbe454d

Observation 4839888f-a6ab-4763-b893-2c6eb2deadc0 · outbound

This paper cites ISPRS Ann.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion ISPRS Ann

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.792397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.792397Z digest=sha256:349478ae9c3be38b94b28e3da8f342c5072cc47dde09e7592cb1d12f3adac5b5

Observation ffbeefb3-4ae3-414a-8382-5cbca355f2c5 · outbound

This paper cites SeMoBridge: Semantic Modality Bridge for Efficient Few-Shot Adaptation of CLIP.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion SeMoBridge: Semantic Modality Bridge for Efficient Few-Shot Adaptation of CLIP

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.797680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.797680Z digest=sha256:bd436d13ec1db9cc2a5164e7d663b2caf91865bf68949b61a6ebf3b726654b23

Observation 040e6dfc-20ba-4217-808b-cfecf1e2b20e · outbound

This paper cites Few-Shot Semantic Segmentation Meets SAM3.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion Few-Shot Semantic Segmentation Meets SAM3

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.801958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.801958Z digest=sha256:2cfb756edb093a95b68abf0bf129f83715890a330b74d1f893570bf239860605

Observation ca408f50-6460-42a3-afdc-0336b45f8aef · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing60, 1–18 (2021).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion IEEE Transactions on Geoscience and Remote Sensing60, 1–18 (2021)

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.805672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.805672Z digest=sha256:e0d111a80ac76899a4853da4e9d4163a7caa8dc07b75d29abbee73181d5925d7

Observation a6c04ad5-fb5e-4b82-9262-50637cb2fc94 · outbound

This paper cites LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.809318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.809318Z digest=sha256:9a61a257d2d35052633e5186c29c6eedf9baedaf3fac9e791842603538dd3e2c

Observation 586c41a9-763b-4f71-8c9b-130dffa5946e · outbound

This paper cites In: proceedings of the IEEE/CVF inter- national conference on computer vision.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: proceedings of the IEEE/CVF inter- national conference on computer vision

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.813102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.813102Z digest=sha256:93151b350b731a5d99dd7aa6731e86bcca669420fae9bd436550e296d6704eae

Observation 8c7b9c28-421f-40d5-bc7a-35d74e4cb41c · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.816913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.816913Z digest=sha256:37bdb88116b918c52ff4354184be4bcbe5cfd48af06dba9288eb69cff2b358fe

Observation 8cec8c0f-0b7e-493d-9a76-cd576c018503 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.820402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.820402Z digest=sha256:4fb78fa4185cf9ebf2b28e88e7758b0725dee32dc6bb7830d0930250535a26f5

Observation 517a7f03-b5e4-45a7-b874-9df223c1adf2 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.824087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.824087Z digest=sha256:dec96ee0d47c4924afba7daa4e0cc80421512c2486f5fe5ecccc9554553af90d

Observation 43af2b38-add1-4177-95ee-3f2d92f80248 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.827987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.827987Z digest=sha256:a125b22766a649897b75d88771e75d0e96a0702e15737a01e84a641aefe5450b

Observation f5c2e407-2e29-439e-9116-ecd0e6d7854e · outbound

This paper cites Advances in neural information processing systems34, 12077–12090 (2021).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion Advances in neural information processing systems34, 12077–12090 (2021)

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.831774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.831774Z digest=sha256:91b530efdd5042f7bb6065f668f96db8f92855002185d184ab08be3baf99e615

Observation 044fdbee-5f61-4f66-978e-53b99ebfc13f · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing60, 1–11 (2021).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion IEEE Transactions on Geoscience and Remote Sensing60, 1–11 (2021)

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.835517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.835517Z digest=sha256:328b129596593572fa56bbd93f3d65a198364d19166b75a4d6d74b3fcabe91a3

Observation 7fe89b57-eccb-453e-881e-0c5edcd0a1f1 · outbound

This paper cites OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.839172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.839172Z digest=sha256:5f96738465c193f6fe8558d80149fba46f74b924055dce41648b751fb8defecf

Observation d1d4a06b-3c1a-4a14-88ca-f72981315539 · outbound

This paper cites In: International Conference on Learning Representations.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: International Conference on Learning Representations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.843118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.843118Z digest=sha256:9f5059bcfd8340dbd2a583301a81d971f246e0c5748231961e1bafce79ac4152

Observation bfd4bcc7-2db8-43a6-ade5-fd280cc62268 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.846650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.846650Z digest=sha256:02d38297e68494d7d56a9a0bd8ae7149f1fdfab3b806d56c4249a7060953ccc0

Observation 96aa8d45-24bc-47ec-a664-2f85a8deda7d · outbound

This paper cites International journal of computer vision130(9), 2337–2348 (2022).

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion International journal of computer vision130(9), 2337–2348 (2022)

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:22.850203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:22.850203Z digest=sha256:269202fbccb8c26499a08974c49a4db3296343881a9118e511a76b2296148e01

Pith citing papers

No inbound Pith citation observations are available.