Pith. sign in

Paper Citation Record · LEDGER

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.01697.

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

pith.paper-citation-record.v1
2508.01697 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:30:10.919802Z

measured 31 of 31 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

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy16
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f80ff6fa-69a5-4e72-be3b-0c64c60b207c · outbound

This paper cites The Lancet389(10071), 815–822 (2017).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model The Lancet389(10071), 815–822 (2017)

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:08.309966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:08.309966Z digest=sha256:8f9f526a53800018b4d7de6b64f955a8c73e8ef257662c86b4d7fa4070735337

Observation 352adad6-513f-4214-b51d-d767e7be1cca · outbound

This paper cites IEEE transactions on medical imaging38(8), 1788–1800 (2019).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model IEEE transactions on medical imaging38(8), 1788–1800 (2019)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:08.357966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:08.357966Z digest=sha256:3f83cc032e67b9efc1c88a78527c9a34d8e412ab024da2dbaa0cfef9b5f8218d

Observation 81d62bcf-a06f-427c-bb6c-7116c5a8a978 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model MONAI: An open-source framework for deep learning in healthcare

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:08.428002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:08.428002Z digest=sha256:6080b3144d2b2b9c7740e80e06cbe491c81b92d31f014738e791bf5b9d279e75

Observation 1f9072dc-91a4-4e9d-a02b-a2ac1b3af443 · outbound

This paper cites Medical image analysis82, 102615 (2022).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Medical image analysis82, 102615 (2022)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:08.504232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:08.504232Z digest=sha256:d3b6560c0172e9888d295be8b52651b0e15dd25cf8219a20de23515ce6757231

Observation 9b8db7b3-fcd4-4b4c-9b27-3c22f1a5f1ed · outbound

This paper cites Authorea Preprints (2025).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Authorea Preprints (2025)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:14.198174Z

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=pdf_text observed=2026-08-06T05:30:08.576529Z digest=sha256:da6fb77510c01de6f5bcfbffe04aeb6c484ee6bcc38f4e940510f0d72c8a73ff

Observation 411f86a2-3541-4a96-af28-936493049532 · outbound

This paper cites SAM-Med2D.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model SAM-Med2D

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:08.664066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:08.664066Z digest=sha256:e7bdbc00aaba1196950c82a9ab7b9be8ed18ebe2d1846ff5ecae032cc2a9ebdb

Observation 50a10af5-c74f-4300-87fb-041b2031cfa7 · outbound

This paper cites Medical image analysis52, 128–143 (2019).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Medical image analysis52, 128–143 (2019)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:08.749179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:08.749179Z digest=sha256:be3fd4155546ce1157cf93e22d9392982cc5e18f40ed968714af9ef61b6b3cbe

Observation 986c28a2-198c-461d-848b-b43aa9731902 · outbound

This paper cites Deep Image Homography Estimation.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Deep Image Homography Estimation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:08.845152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:08.845152Z digest=sha256:8b6624b3ada186cfa2944eafe2f384b13238183c5ab88983df4bc390f24769be

Observation b9f1f600-66de-4885-acc9-e9bc323474b5 · outbound

This paper cites In: BMVC.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model In: BMVC

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:14.016018Z

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=pdf_text observed=2026-08-06T05:30:08.914577Z digest=sha256:6182f76bc8aeaac13afaba87232a5b9a13efb3ee1e05a41072199e4d134f5007

Observation 114fb06d-1087-4e78-b775-9bf432cdeab7 · outbound

This paper cites In: Medical Imaging 2018: Image Processing.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model In: Medical Imaging 2018: Image Processing

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:13.855667Z

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=pdf_text observed=2026-08-06T05:30:09.007700Z digest=sha256:eeb41947164f37397d2085ee615be95c788fca42904922555988456d15533690

Observation fdf18fa1-f854-446a-a703-8979c8e0c3eb · outbound

This paper cites In: MIDL (2022).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model In: MIDL (2022)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:13.679356Z

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=pdf_text observed=2026-08-06T05:30:09.120143Z digest=sha256:7b822f037d7e229984d2fd398517e50abae96ae39480b3e52a632b42884ccf36

Observation b31b6377-6d18-487d-8dbd-a8278d1c95b9 · outbound

This paper cites NeurIPS (2024).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model NeurIPS (2024)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:13.529937Z

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=pdf_text observed=2026-08-06T05:30:09.192476Z digest=sha256:ba4c5886afee37e661ea90a75138c10f9a12ed706e843f50ccfff1bf1c3a45a5

Observation b8744d22-dcd4-4a50-9597-f0eb626da953 · outbound

This paper cites https://doi.org/10.5281/zenodo.3835682 (2020).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model https://doi.org/10.5281/zenodo.3835682 (2020)

Reference 13

Resolution
verified exact
doi, observed 2026-08-06T05:30:11.278709Z

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=pdf_text observed=2026-08-06T05:30:09.290842Z digest=sha256:ce28d87dbd4ac29881c464c9eb444512726e3b572753f07c73759cd6e6b4b6f5

Observation 8b81ad68-9b8a-49b9-96ec-46a5e1e7013d · outbound

This paper cites In: MICCAI (2019).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model In: MICCAI (2019)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:13.302087Z

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=pdf_text observed=2026-08-06T05:30:09.370087Z digest=sha256:31198eb861146fcbcaa41858f1f6b81d07c880161edd63bebc3494cd5a06c169

Observation c12532cf-6733-426f-b595-e83f15fc3392 · outbound

This paper cites Medical image analysis 49, 1–13 (2018).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Medical image analysis 49, 1–13 (2018)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:13.197013Z

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=pdf_text observed=2026-08-06T05:30:09.488331Z digest=sha256:04856ed70cabea7f0c20a7048b0850a8957060c39d6c119434bdbf09be9ceebe

Observation b88a36d0-885d-404b-9bc1-77d53b416a26 · outbound

This paper cites In: CVPR (2023).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model In: CVPR (2023)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:13.041789Z

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=pdf_text observed=2026-08-06T05:30:09.541659Z digest=sha256:d2b77937d83e9598166cc5f1d9b5c897a59594377036b42202d0b9bec8581665

Observation 40441e47-d96d-47d0-a5bb-89547b94b5de · outbound

This paper cites In: MICCAI (2024).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model In: MICCAI (2024)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:12.911990Z

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=pdf_text observed=2026-08-06T05:30:09.638703Z digest=sha256:41f796337c5165ce663e27d069246adfaf04726aa7a43052a29a57821dc188fb

Observation c06212e4-1e94-4ae6-8f7e-a9cae55cba94 · outbound

This paper cites Medical Image Analysis69, 101950 (2021).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Medical Image Analysis69, 101950 (2021)

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:09.742407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:09.742407Z digest=sha256:91911ac5d0cac8e74a1eaa93d7597dcb5e4d40532e702af223001223e03ab30b

Observation b873d300-0195-4ab2-804a-cced1775917f · outbound

This paper cites NeurIPS (2024).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model NeurIPS (2024)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:12.746692Z

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=pdf_text observed=2026-08-06T05:30:09.825395Z digest=sha256:01e89ea40f07d9d2b3a93aa576a56f74ec87abab6b9d8e440f355ec458efbaf3

Observation 1f83d4f4-5085-48d6-a3ca-c34b40742057 · outbound

This paper cites an unresolved cited work.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Unresolved cited work

Reference 20

Resolution
verified exact
doi, observed 2026-08-06T05:30:11.158004Z

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=pdf_text observed=2026-08-06T05:30:09.921641Z digest=sha256:821db0f00889ba577663d871954ee0898867e9bf0a523fa3d8fee4a4a997026e

Observation 0b911b8b-1e97-4275-8687-de596bd48e20 · outbound

This paper cites Segment Anything.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Segment Anything

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:10.034773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:10.034773Z digest=sha256:62774bdb7f7e70bc03f5ef9076ba786add373ae98ab9fbb678c9d1d2e4dbcdc1

Observation 91faeda3-ae62-45fb-a243-759f848dc1ce · outbound

This paper cites Nature Communications15(1), 654 (2024).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Nature Communications15(1), 654 (2024)

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:10.116750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:10.116750Z digest=sha256:d3b054c673603a6db25cf9a74a34625fcc7fae8e2aa5db73fe152c7c511c4ad2

Observation 8edb0107-e2f3-479d-b2d0-9e8f3c6c5ff6 · outbound

This paper cites https://doi.org/10.5281/ zenodo.5914759 (2022).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model https://doi.org/10.5281/ zenodo.5914759 (2022)

Reference 23

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T05:30:12.589325Z

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=pdf_text observed=2026-08-06T05:30:10.193527Z digest=sha256:09bde0c1f9e2f6f931f403c3a813c09d217cdda647d065ade0f70f8be31fce24

Observation d09d3673-bc40-46c8-a17c-98f9d0f574d6 · outbound

This paper cites Journal of medical imaging 1(2), 024003–024003 (2014).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Journal of medical imaging 1(2), 024003–024003 (2014)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:12.390927Z

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=pdf_text observed=2026-08-06T05:30:10.292599Z digest=sha256:8e31da06b506998230b537499c33377576662cdeaf68a479ef78810a546f12b6

Observation a778ae43-b268-4d9b-aa3b-96606b05c1f6 · outbound

This paper cites Journal of the American Statistical Association92(437), 179– 191 (1997).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Journal of the American Statistical Association92(437), 179– 191 (1997)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:12.202193Z

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=pdf_text observed=2026-08-06T05:30:10.354397Z digest=sha256:91b7e8b2ec1fee1554a2e1cd84ab3c902b3e0985b857d83aab8161d8d0ccd4be

Observation 1c2d8a0c-7ed7-4a38-94e5-3fd46cbd1ba3 · outbound

This paper cites In: MICCAI (2017).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model In: MICCAI (2017)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:12.023947Z

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=pdf_text observed=2026-08-06T05:30:10.456707Z digest=sha256:9e728e28ac3436fb56a524e3b975a2eb18da985815138e6491fd139ecaea043c

Observation d462c365-53df-490b-b545-b3df8a324365 · outbound

This paper cites IEEE Transac- tions on medical imaging20(6), 526–534 (2001).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model IEEE Transac- tions on medical imaging20(6), 526–534 (2001)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:11.847387Z

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=pdf_text observed=2026-08-06T05:30:10.552628Z digest=sha256:6ef9cdc73dcc581c48aebc3774bb93f59ba3058dbef42d302267dada41634c94

Observation 8f53eb64-199d-4428-a82a-158ec5d96239 · outbound

This paper cites IEEE Transactions on Medical Imaging 18(8), 712–721 (1999).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model IEEE Transactions on Medical Imaging 18(8), 712–721 (1999)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:11.704431Z

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=pdf_text observed=2026-08-06T05:30:10.679341Z digest=sha256:1f6a0e318b1e62f64c830ecd4b1c7b5d2085c00818fed3fc9a4e42a590295ae8

Observation 507ff780-ef08-47b7-95bd-a0e041487990 · outbound

This paper cites SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:10.749047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:10.749047Z digest=sha256:db5902e2a453db893495aca672deba6537c308179a49b7d91c4edad5422dc486

Observation b58253a0-7441-4875-9dcd-ded5ed17c999 · outbound

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

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:10.841869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:10.841869Z digest=sha256:1a54b76986bcb7b49ed6f7049ee53cd5517e73e02c541675e66101e0ae5d1c1b

Observation 9c934c2c-a8ca-4d91-8cfa-579a9a0364bf · outbound

This paper cites In: CVPR (2018).

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model In: CVPR (2018)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:30:11.566624Z

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=pdf_text observed=2026-08-06T05:30:10.919802Z digest=sha256:c71b38611609512c30fa67d94083288e9e6ba5940103123968cd636c93e8560f

Pith citing papers

No inbound Pith citation observations are available.