Paper Citation Record · LEDGER

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation

As of 6 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2604.10912.

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

pith.paper-citation-record.v1
2604.10912 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:07:36.487339Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

26 of 26 outbound references displayed

verified exact5
verified fuzzy21
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3d003aa-5702-4ac9-bcea-a193e6607fba · outbound

This paper cites Alleviating textual reliance in medical language-guided segmentation via prototype-driven semantic approximation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Alleviating textual reliance in medical language-guided segmentation via prototype-driven semantic approximation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.436711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 345b1950-61bb-4af5-9222-af4a74f50920 · outbound

This paper cites U-Net: Con- volutional networks for biomedical image segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation U-Net: Con- volutional networks for biomedical image segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.447928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 25d9b005-90b6-4c4f-972f-6c63e6d69afa · outbound

This paper cites U-Net++: A nested u-net architecture for medical image segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation U-Net++: A nested u-net architecture for medical image segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.442310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ab652ae6-eac0-4108-ac64-d72b7a65be4f · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:37:15.785015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cbf87d2d-e9c3-4466-b8f1-e24e162d7178 · outbound

This paper cites ConDSeg: A general medical image segmentation framework via contrast-driven feature enhancement.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation ConDSeg: A general medical image segmentation framework via contrast-driven feature enhancement

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.444997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b340d94-e6d4-42e5-a8aa-d4767f681edf · outbound

This paper cites Diffusion-guided mask-consistent paired mixing for endoscopic image segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Diffusion-guided mask-consistent paired mixing for endoscopic image segmentation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:04.091410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d1f40c0e-f3bf-46f3-ae2c-c5dc1b40326a · outbound

This paper cites KG-SAM: Injecting anatomical knowledge into segment anything models via conditional random fields.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation KG-SAM: Injecting anatomical knowledge into segment anything models via conditional random fields

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:04.069711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2101cd1e-b49c-4052-bbd9-1864deb6ea59 · outbound

This paper cites Med- CLIP: Contrastive learning from unpaired medical images and text.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Med- CLIP: Contrastive learning from unpaired medical images and text

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.439297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc79c4d0-138b-4d20-97dd-e798faedc021 · outbound

This paper cites LViT: Language meets vision transformer in medical image segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation LViT: Language meets vision transformer in medical image segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.434009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9227a460-be96-46b6-9ca8-b4e11c78437d · outbound

This paper cites LGA: A language guide adapter for advancing the sam model’s capabilities in medical image segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation LGA: A language guide adapter for advancing the sam model’s capabilities in medical image segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.431311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5de92d70-18dd-438d-bc5d-c2e94196d836 · outbound

This paper cites Driven by textual knowledge: A text-view enhanced knowledge transfer network for lung infection region segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Driven by textual knowledge: A text-view enhanced knowledge transfer network for lung infection region segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.422538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bc05c4dd-a046-4952-a826-d752ea19e04c · outbound

This paper cites Ariadne’s thread: Using text prompts to improve segmentation of infected areas from chest x-ray images.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Ariadne’s thread: Using text prompts to improve segmentation of infected areas from chest x-ray images

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.425461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 558636b1-3c79-4a46-87a2-c2b037d6ba9c · outbound

This paper cites Enhancing label-efficient medical image segmentation with text-guided diffusion models.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Enhancing label-efficient medical image segmentation with text-guided diffusion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.410598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 783ab59d-4465-4fbd-8ab6-3febb34e7e74 · outbound

This paper cites Cold SegDiffusion: A novel diffusion model for medical image segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Cold SegDiffusion: A novel diffusion model for medical image segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.407427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52e58022-1bb5-4ae4-ba61-0e19e94e6575 · outbound

This paper cites MedSegDiff-V2: Diffusion-based medical image segmentation with transformer.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation MedSegDiff-V2: Diffusion-based medical image segmentation with transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.413383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d2e45296-395f-4796-8a2e-8d72bc700df8 · outbound

This paper cites DINOv3.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation DINOv3

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-11T11:11:04.050925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 78b31271-7406-4fdf-875c-b5729d6a7cb1 · outbound

This paper cites Making the most of text semantics to improve biomedical vision–language processing.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Making the most of text semantics to improve biomedical vision–language processing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.419667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b260b0df-bcdb-4347-b0bd-38317c2ca4f8 · outbound

This paper cites The prism hypothesis: Harmonizing semantic and pixel representations via unified autoencoding.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation The prism hypothesis: Harmonizing semantic and pixel representations via unified autoencoding

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:04.059115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e30067b5-8540-428a-9ebb-cde68b700195 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation nnu-net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.416401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 951e1dba-63d0-4c3c-96ae-3ef5ec9969c1 · outbound

This paper cites Swin-Unet: Unet-like pure transformer for medical image segmentation.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Swin-Unet: Unet-like pure transformer for medical image segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.428549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ceb1977d-98a7-48b1-88ad-a7ee61d476fa · outbound

This paper cites Maxformer: Enhanced transformer for medical image segmenta- tion with multi-attention and multi-scale feature fusion.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Maxformer: Enhanced transformer for medical image segmenta- tion with multi-attention and multi-scale feature fusion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.404138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7df23e55-b77d-4085-bd4f-37afa89a4635 · outbound

This paper cites CausalCLIPSeg: Unlocking clip’s potential in referring medical image segmentation with causal intervention.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation CausalCLIPSeg: Unlocking clip’s potential in referring medical image segmentation with causal intervention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.401009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cb8b2ad6-26a3-4aac-8163-1754e7b8285c · outbound

This paper cites Common vision-language attention for text- guided medical image segmentation of pneumonia.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation Common vision-language attention for text- guided medical image segmentation of pneumonia

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.394838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 67f08fbe-b2c4-4152-9d51-a1c1d81dce12 · outbound

This paper cites MAdapter: A better interaction between image and language for medical image segmenta- tion.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation MAdapter: A better interaction between image and language for medical image segmenta- tion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.397825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 90a5379a-7436-4251-9f3d-93b5fe87af9d · outbound

This paper cites ECA-Net: Efficient channel attention for deep convolutional neural networks.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation ECA-Net: Efficient channel attention for deep convolutional neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.391586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a75fc034-dc2c-42ca-aec2-00df75d3beb4 · outbound

This paper cites PSANet: Point-wise spatial attention network for scene parsing.

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation PSANet: Point-wise spatial attention network for scene parsing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T07:52:31.388075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.