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Paper Citation Record · LEDGER

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive

As of 14 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.09612.

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

pith.paper-citation-record.v1
2507.09612 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:59:44.658585Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

57 of 57 outbound references displayed

  • verified exact3
  • verified fuzzy26
  • unresolved26
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68897891-50d7-4487-9c27-94c9d5301552 · outbound

This paper cites Ef- ficient interactive annotation of segmentation datasets with polygon-rnn++.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Ef- ficient interactive annotation of segmentation datasets with polygon-rnn++

Reference 1

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Source-reported events for the cited work

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Observation 2f1202f6-7312-49d3-af09-fceca1a60c77 · outbound

This paper cites Moinul Hos- sain, Gianluca Marcelli, Marc Alemany-Fornes, and Anas- tasios D.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Moinul Hos- sain, Gianluca Marcelli, Marc Alemany-Fornes, and Anas- tasios D

Reference 2

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c6f49b15-f40c-4890-965d-70039fad130e · outbound

This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection

Reference 3

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Source-reported events for the cited work

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Observation f3e79b69-9c14-49c2-8301-6d8071ed9aef · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive nuscenes: A multi- modal dataset for autonomous driving

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 422fcf44-c7d9-4422-abe7-aea092f3e420 · outbound

This paper cites Focalclick: towards practical in- teractive image segmentation.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Focalclick: towards practical in- teractive image segmentation

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c6486f07-cae1-4c13-832c-4ca56f0c00c7 · outbound

This paper cites FlashAttention-2: Faster attention with better par- allelism and work partitioning.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive FlashAttention-2: Faster attention with better par- allelism and work partitioning

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 2026-08-14T06:32:32.682623+00:00.

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Observation 1b607509-86ef-4e08-9216-2426db8d0f45 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R´e.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Fu, Stefano Ermon, Atri Rudra, and Christopher R´e

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4dd43549-5bfc-4f2c-b6f5-c0203e2373ed · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 949d9b8e-f720-4f8a-bd42-6d604bd9ce91 · outbound

This paper cites Image Compression with Product Quantized Masked Image Modeling.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Image Compression with Product Quantized Masked Image Modeling

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2a939be7-30af-4e14-bb95-8efc9d34d861 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Taming transformers for high-resolution image synthesis

Reference 10

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Observation 9cd767cd-5111-4302-83f8-a573f826ccab · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 11

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Unavailable: canonical work link unavailable.

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Observation faa02641-e8c6-4512-b4f3-9c82e76349ab · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 57937788-8758-4a72-a04e-e97bf210e2da · outbound

This paper cites Star-transformer.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Star-transformer

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6bc10f52-6175-4371-a10a-c8ffc204c68f · outbound

This paper cites Girshick.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Girshick

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 23044086-259f-4648-97ec-2fe855688be0 · outbound

This paper cites Flatten transformer: Vision transformer using focused linear attention.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Flatten transformer: Vision transformer using focused linear attention

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0c8ae67b-9f9f-4a9a-943c-2feadba750c2 · outbound

This paper cites Deep residual learning for image recognition.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Deep residual learning for image recognition

Reference 16

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Unavailable: canonical work link unavailable.

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Observation f48e18d7-fa88-41be-be1d-a6504c5142d2 · outbound

This paper cites Mask r-cnn.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mask r-cnn

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 18b83410-5428-4233-b66d-4c4ca993df9e · outbound

This paper cites Interformer: Real-time interactive image segmentation.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interformer: Real-time interactive image segmentation

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5e659fb3-e108-49b7-bc20-9d25b4b55524 · outbound

This paper cites HRSAM: Efficient Interactive Segmentation in High-Resolution Images.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive HRSAM: Efficient Interactive Segmentation in High-Resolution Images

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 039b08ca-caff-40c4-b4f9-45d403c82f10 · outbound

This paper cites Interactive image seg- mentation via backpropagating refinement scheme.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interactive image seg- mentation via backpropagating refinement scheme

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 13a2bf29-6b91-4c73-b32b-0be3d0d4d076 · outbound

This paper cites Segment anything in high quality.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment anything in high quality

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:59:49.948278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 721247d7-4a60-41e1-9626-66566a199402 · outbound

This paper cites Transformers in vision: A survey.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Transformers in vision: A survey

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 510cd5c1-3fb1-4a8b-a843-6cc3ccbcebbc · outbound

This paper cites Segment any- thing.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment any- thing

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T17:59:49.583175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e2bdc49e-006c-4078-8871-b0af4fae5d64 · outbound

This paper cites an unresolved cited work.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e1982561-f511-4d16-a33c-2e135b68235f · outbound

This paper cites LISA: Reasoning Segmentation via Large Language Model.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive LISA: Reasoning Segmentation via Large Language Model

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3ea5ba65-c0c8-4629-ac84-46abbcd06e0b · outbound

This paper cites Exploring plain vision transformer backbones for object de- tection.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Exploring plain vision transformer backbones for object de- tection

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fb3b5c69-3955-4d6a-9e84-1d6c548bab83 · outbound

This paper cites Interactive image segmentation with latent diversity.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interactive image segmentation with latent diversity

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:59:48.618076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 63f3bcea-9b9b-4829-b9ff-37fc53304fd3 · outbound

This paper cites Lawrence Zitnick.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Lawrence Zitnick

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T17:59:48.323770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c452a0a2-fb5c-4b5d-b66f-39c214892251 · outbound

This paper cites Interactive image segmentation with first click attention.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interactive image segmentation with first click attention

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:59:48.043298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:59:42.789996Z digest=sha256:12e9868f0f5907d2d3d9e1d93b1cc53af8bb407d3349bfa2123d0b3637362020

Observation ca0054aa-37ef-4ed8-aa3c-6908b3dafa19 · outbound

This paper cites Transformer-VQ: Linear-Time Transformers via Vector Quantization.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Transformer-VQ: Linear-Time Transformers via Vector Quantization

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 329fe068-ed4e-49ae-989b-135a43cbe3a6 · outbound

This paper cites DeepSeek-V3 Technical Report.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive DeepSeek-V3 Technical Report

Reference 31

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no resolver link, observed 2026-08-06T17:59:42.964375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 71ee2ea2-52b4-4cea-ba5f-8a4c8bd46526 · outbound

This paper cites SimpleClick: Interactive Image Segmentation with Simple Vision Transformers.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive SimpleClick: Interactive Image Segmentation with Simple Vision Transformers

Reference 32

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no resolver link, observed 2026-08-06T17:59:43.065723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:43.065723Z digest=sha256:b1c5f383ee156f7d3d6a345aa4316f88819ac02f7e9f31efc8e060c6b577ff09

Observation 0a4c9921-87d5-4a7a-b679-54aca9b73b6a · outbound

This paper cites Pseudoclick: Interactive image segmentation with click imi- tation.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Pseudoclick: Interactive image segmentation with click imi- tation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:59:47.805495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:59:43.122967Z digest=sha256:78a19d993eac49a98e60135a463effa3674bbc138c95442f3819e55e6a477da9

Observation ffa45373-8032-4bee-922d-e432b9bc3a64 · outbound

This paper cites Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:43.181168Z digest=sha256:ff13e97f493b47a0ee9899de3dbf018bf18324971187109b8eeb9fc59d7f8909

Observation b93184ae-072a-40f8-9aca-da083c05f840 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Swin transformer: Hierarchical vision transformer using shifted windows

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:43.255738Z digest=sha256:b7f1f78e5a24c704764fba8c61b00a59ee5cb9a13bc7553eb05417720286283e

Observation 7ae41f4b-92fe-4efb-b2fe-640468955fb8 · outbound

This paper cites Segment Anything in Medical Images.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment Anything in Medical Images

Reference 36

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no resolver link, observed 2026-08-06T17:59:43.355075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 73251273-ef52-4c90-b8e4-ba5c479e7bf0 · outbound

This paper cites Deep extreme cut: From extreme points to object segmentation.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Deep extreme cut: From extreme points to object segmentation

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0443b593-47dc-4ad8-8ce5-8aae21380599 · outbound

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

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment anything model for medical image analysis: an experimental study

Reference 38

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unresolved
no resolver link, observed 2026-08-06T17:59:43.527111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:43.527111Z digest=sha256:ec113848216f9063653f9216e40be56349e15168851620ca09fbea431b691317

Observation b035f61b-7131-4304-81e5-9159d52efd71 · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Finite Scalar Quantization: VQ-VAE Made Simple

Reference 39

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no resolver link, observed 2026-08-06T17:59:43.608657Z

Source-reported events for the cited work

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Observation 8ed33318-551b-4119-b464-9482ebe37a36 · outbound

This paper cites Gross, and Alexander Sorkine- Hornung.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Gross, and Alexander Sorkine- Hornung

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 38941a85-0e27-44a0-bfcd-2a070ef9bc96 · outbound

This paper cites Self-attention Does Not Need $O(n^2)$ Memory.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Self-attention Does Not Need $O(n^2)$ Memory

Reference 41

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no resolver link, observed 2026-08-06T17:59:43.755282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:43.755282Z digest=sha256:8709fd9a4c3bdc581dcdeb8859d48240ed629d5527d9f36c4d3aa1d19c084a3b

Observation a0001edd-c4e3-402b-aed2-3735caf3e73c · outbound

This paper cites Petrov, Olga Barinova, and Anton Konushin.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Petrov, Olga Barinova, and Anton Konushin

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-06T17:59:46.839249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6fc9de30-9d6a-4270-b772-4fe39c8996b9 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Roformer: Enhanced transformer with rotary position embedding

Reference 43

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unresolved
no resolver link, observed 2026-08-06T17:59:43.915454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 97a92bc1-5798-4a02-95f0-859d027b5316 · outbound

This paper cites Neural discrete representation learning.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Neural discrete representation learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T17:59:43.974606Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:59:43.974606Z digest=sha256:3f75db6dce116b2e8581111400e84a5169117e5379918417ed154d581966fd8b

Observation 7adda1d5-3e5b-4f11-be44-cc5cc766deca · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:59:46.517556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e37945da-c806-43af-9c51-5b8ecaafa336 · outbound

This paper cites Order-aware Interactive Segmentation.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Order-aware Interactive Segmentation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:59:45.174724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:59:44.103291Z digest=sha256:e61ab18e65ccfc7ef3c8b72bddefa573838b822e0a8defeeebd0ff9420bec716

Observation b83b033a-e8a4-46d1-85a2-ecaef160dbff · outbound

This paper cites Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:59:46.188030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:59:44.162339Z digest=sha256:15a41091d7064f4cca50739089a4f40bfcb3f3247a56f6bc6701e168ddf4c5f8

Observation ee6d4960-afe5-4b1c-9271-2392a7a93bad · outbound

This paper cites EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation db734360-93ec-4cb0-be7c-86b44932a057 · outbound

This paper cites Structured Click Control in Transformer-based Interactive Segmentation.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Structured Click Control in Transformer-based Interactive Segmentation

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:59:45.006158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c73dd96e-6bd5-4651-bb50-1ddb747eb924 · outbound

This paper cites Price, Scott Cohen, Jimei Yang, and Thomas S.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Price, Scott Cohen, Jimei Yang, and Thomas S

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:59:45.876912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:59:44.339765Z digest=sha256:f414c655f31e4af924441bdbba7fea9af2ec5c2a94019fbbca2f630abc72f700

Observation 7ff96d30-366d-477c-b2cf-5c28cf7f9484 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Vector-quantized Image Modeling with Improved VQGAN

Reference 51

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unresolved
no resolver link, observed 2026-08-06T17:59:44.400662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:44.400662Z digest=sha256:88d42533c2cb7e80e2ca3dbd9142efefe2169dbb83b739f590ca9dde5455e226

Observation a07228c9-062e-49b5-9d5a-54ab5f4ecd8f · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 52

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unresolved
no resolver link, observed 2026-08-06T17:59:44.470606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:44.470606Z digest=sha256:79e4988c266f7375636bdf148006de3e3738af1ff26d84b35fa5c7a0398a99ca

Observation 52ab7135-a609-4e82-8ef2-6c08c56889d0 · outbound

This paper cites Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:59:44.831422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:59:44.501671Z digest=sha256:1c7eb5d0d4b5347302ad22786952a0717509ca56353771e8c76584931d1f0244

Observation 6be68bb3-d653-4d4c-832b-eaf9de91d993 · outbound

This paper cites Image and Video Tokenization with Binary Spherical Quantization.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Image and Video Tokenization with Binary Spherical Quantization

Reference 54

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unresolved
no resolver link, observed 2026-08-06T17:59:44.578141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:44.578141Z digest=sha256:81c8a0cb6a935ff1482eda68b7c047264d689665843901d75f2261cd71652613

Observation 25e12b38-6e27-4056-ba6f-6a6f91a887d8 · outbound

This paper cites Online clustered code- book.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Online clustered code- book

Reference 55

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T17:59:45.623460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:59:44.658585Z digest=sha256:a8a0e1df9af06e32819d514067c7f5f0e2976452266b9081a3f1937459960802

Observation 4376c965-97a6-4055-a413-c858a5cfd599 · outbound

This paper cites an unresolved cited work.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Unresolved cited work

Reference 585

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:59:48.501036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T17:59:42.632091Z digest=sha256:c55c857809d6ce1eb7dd7c3547feee29f7d033bf4e4dc34b524489a5425a6888

Observation 886b1b02-97bc-4557-b83c-ed82e9b33a50 · outbound

This paper cites an unresolved cited work.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Unresolved cited work

Reference 2021

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parse uncertain
raw_fallback, observed 2026-08-06T17:59:51.130413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

No inbound Pith citation observations are available.