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Paper Citation Record · LEDGER

Bridging the Modality Gap in Forensic Image Retrieval

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2606.12294.

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

pith.paper-citation-record.v1
2606.12294 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:06:22.362644Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact21
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation 37940c0c-3e79-4576-8beb-e16ffe82eee0 · outbound

This paper cites Criminalistic Human Identification from Scar And Tattoo Marks.

Bridging the Modality Gap in Forensic Image Retrieval Criminalistic Human Identification from Scar And Tattoo Marks

Reference 1

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Observation 5aa873aa-b473-4892-9781-7b749c2e275a · outbound

This paper cites Sketch-Based Multimodal Image Retrieval Using Deep Learning.

Bridging the Modality Gap in Forensic Image Retrieval Sketch-Based Multimodal Image Retrieval Using Deep Learning

Reference 2

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Observation 0b65b53b-ef3e-4429-af7f-feadc26b6047 · outbound

This paper cites Tattooinformationcreation:Towardsaholisticunderstandingoftattooinformationexperience.

Bridging the Modality Gap in Forensic Image Retrieval Tattooinformationcreation:Towardsaholisticunderstandingoftattooinformationexperience

Reference 3

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arxiv_id, observed 2026-06-27T10:10:48.711455Z

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Observation 7540e7c8-186d-4d4e-94dc-6ad035d5e2d8 · outbound

This paper cites Training-freein-contextforensicchainforimagemanipulation detection and localization.

Bridging the Modality Gap in Forensic Image Retrieval Training-freein-contextforensicchainforimagemanipulation detection and localization

Reference 4

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arxiv_id, observed 2026-07-03T10:17:57.996063Z

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Observation 008b5ecf-1bf0-4983-82ef-28e734fda034 · outbound

This paper cites Mobilefacenets:Efficientcnnsforaccuratereal-timefaceverificationonmobiledevices,in:Chinese conference on biometric recognition, Springer.

Bridging the Modality Gap in Forensic Image Retrieval Mobilefacenets:Efficientcnnsforaccuratereal-timefaceverificationonmobiledevices,in:Chinese conference on biometric recognition, Springer

Reference 5

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Observation aeaa379f-2fa0-4c17-8810-01b1223cbd52 · outbound

This paper cites Big Data and Cognitive Computing 9.

Bridging the Modality Gap in Forensic Image Retrieval Big Data and Cognitive Computing 9

Reference 6

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doi, observed 2026-06-27T10:10:48.708236Z

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Observation e9483acc-36b9-4297-80d5-188dbab9bb4f · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Bridging the Modality Gap in Forensic Image Retrieval Arcface: Additive angular margin loss for deep face recognition, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 7

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Observation 2cb9d275-1133-4b3d-b3b2-4c5ad92f96c4 · outbound

This paper cites ACM Trans.

Bridging the Modality Gap in Forensic Image Retrieval ACM Trans

Reference 8

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doi, observed 2026-06-27T10:10:48.699656Z

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Observation aad9e1a7-d87c-413d-a93f-582650b4db66 · outbound

This paper cites A large-scale software-generated face composite sketch database, in: 2016 International Conference of the Biometrics Special Interest Group (BIOSIG), pp.

Bridging the Modality Gap in Forensic Image Retrieval A large-scale software-generated face composite sketch database, in: 2016 International Conference of the Biometrics Special Interest Group (BIOSIG), pp

Reference 9

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Observation 13951712-57a3-497a-b3de-50d28d60510a · outbound

This paper cites an unresolved cited work.

Bridging the Modality Gap in Forensic Image Retrieval Unresolved cited work

Reference 10

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Observation be474956-6659-425f-973d-6f26e69fea01 · outbound

This paper cites Tatttrn: Template reconstruction network for tattoo retrieval, in: Proc.

Bridging the Modality Gap in Forensic Image Retrieval Tatttrn: Template reconstruction network for tattoo retrieval, in: Proc

Reference 11

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Observation e1898746-75b4-4849-a7d8-0c0ab359ea44 · outbound

This paper cites Tattoo based identification: Sketch to image matching.

Bridging the Modality Gap in Forensic Image Retrieval Tattoo based identification: Sketch to image matching

Reference 12

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Observation c611b0da-3ff5-4739-8304-8bdf2fdc2e1b · outbound

This paper cites Tattoo image search at scale: Joint detection and compact representation learning.

Bridging the Modality Gap in Forensic Image Retrieval Tattoo image search at scale: Joint detection and compact representation learning

Reference 13

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arxiv_id, observed 2026-06-27T10:10:48.680672Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7d997c3f-dce5-4477-9ff6-d92ba060c17d · outbound

This paper cites Efficient Multimodal Learning from Data-centric Perspective.

Bridging the Modality Gap in Forensic Image Retrieval Efficient Multimodal Learning from Data-centric Perspective

Reference 14

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arxiv_id, observed 2026-07-03T10:17:57.986808Z

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Observation 7a9e7e33-d185-4794-916f-c852947f2887 · outbound

This paper cites VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models.

Bridging the Modality Gap in Forensic Image Retrieval VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models

Reference 15

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Observation 121b82e6-c940-4cc0-a57a-08a68568c677 · outbound

This paper cites Tattoo recognition technology is gaining acceptance as a crime-solving technique.

Bridging the Modality Gap in Forensic Image Retrieval Tattoo recognition technology is gaining acceptance as a crime-solving technique

Reference 16

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Observation 7b58ec91-16c1-4209-8089-f85bac3070a3 · outbound

This paper cites Ontheforensicvalueoftattoosforhumanidentification–aliteraturereview.

Bridging the Modality Gap in Forensic Image Retrieval Ontheforensicvalueoftattoosforhumanidentification–aliteraturereview

Reference 17

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Observation 28069d51-b5fa-48f1-854b-1a707271a193 · outbound

This paper cites Vision-by-language for training-free compositional image retrieval.

Bridging the Modality Gap in Forensic Image Retrieval Vision-by-language for training-free compositional image retrieval

Reference 18

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Observation 111d9ca8-5dd3-49bc-8d32-550ed4b962f2 · outbound

This paper cites Face photo retrieval by sketch example, in: Proceedings of the 20th ACM International Conference on Multimedia, Association for Computing Machinery, New York, NY, USA.

Bridging the Modality Gap in Forensic Image Retrieval Face photo retrieval by sketch example, in: Proceedings of the 20th ACM International Conference on Multimedia, Association for Computing Machinery, New York, NY, USA

Reference 19

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Observation 994a3a35-fc6a-477d-bfc4-17c879c0e997 · outbound

This paper cites an unresolved cited work.

Bridging the Modality Gap in Forensic Image Retrieval Unresolved cited work

Reference 20

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arxiv_id, observed 2026-06-27T10:10:48.693629Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e8fe0984-493f-4627-a9da-c1bbdaf7dbe8 · outbound

This paper cites Bridging modalities: A survey of cross-modal image-text retrieval.

Bridging the Modality Gap in Forensic Image Retrieval Bridging modalities: A survey of cross-modal image-text retrieval

Reference 21

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Observation 5b74b486-f0f1-4f31-98c9-46e14323b101 · outbound

This paper cites Visual instruction tuning, in: NeurIPS.

Bridging the Modality Gap in Forensic Image Retrieval Visual instruction tuning, in: NeurIPS

Reference 22

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Observation 3c5ef698-c854-4e09-babf-0761f2366706 · outbound

This paper cites an unresolved cited work.

Bridging the Modality Gap in Forensic Image Retrieval Unresolved cited work

Reference 23

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Observation e4843904-c32c-4ad0-b89f-f415f924bdda · outbound

This paper cites Bench- marking lightweight face architectures on specific face recognition scenarios.

Bridging the Modality Gap in Forensic Image Retrieval Bench- marking lightweight face architectures on specific face recognition scenarios

Reference 24

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Observation b567774f-f2c0-4909-8fe0-3aa3816edfa6 · outbound

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Bridging the Modality Gap in Forensic Image Retrieval Unresolved cited work

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Observation 8f4b62b5-8c58-44f0-94ed-a25925aa4a33 · outbound

This paper cites an unresolved cited work.

Bridging the Modality Gap in Forensic Image Retrieval Unresolved cited work

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Observation 456c79ad-d9bc-4218-ab3d-bf9fa920fdbe · outbound

This paper cites Weighted average pooling of deep features for tattoo identification.

Bridging the Modality Gap in Forensic Image Retrieval Weighted average pooling of deep features for tattoo identification

Reference 27

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Observation b8fbdd51-ed87-471c-ad97-aba42faba730 · outbound

This paper cites Approach for tattoo detection and identification based on yolov5 and similarity distance.

Bridging the Modality Gap in Forensic Image Retrieval Approach for tattoo detection and identification based on yolov5 and similarity distance

Reference 28

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doi, observed 2026-06-27T10:10:48.698065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5465de87-eb49-43a1-949e-e75e287fdcd6 · outbound

This paper cites Learning transferable visual models from natural language supervision, in: Proceedings of the 38th International Conference on Machine Learning, PMLR.

Bridging the Modality Gap in Forensic Image Retrieval Learning transferable visual models from natural language supervision, in: Proceedings of the 38th International Conference on Machine Learning, PMLR

Reference 29

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Observation 70f941de-a16f-4134-9043-ef240482d7d4 · outbound

This paper cites A transfer learning approach for the tattoo classification problem, in: 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), pp.

Bridging the Modality Gap in Forensic Image Retrieval A transfer learning approach for the tattoo classification problem, in: 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), pp

Reference 30

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Observation 6d9adf0b-6415-462e-a81d-79f203dabd31 · outbound

This paper cites Benchmarking multimodal large language models for forensic science and medicine: A comprehensive dataset and evaluation framework.

Bridging the Modality Gap in Forensic Image Retrieval Benchmarking multimodal large language models for forensic science and medicine: A comprehensive dataset and evaluation framework

Reference 31

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doi, observed 2026-06-27T10:10:48.677073Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 645a1463-604b-459d-b88f-b4a6b5f9cd88 · outbound

This paper cites an unresolved cited work.

Bridging the Modality Gap in Forensic Image Retrieval Unresolved cited work

Reference 32

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Observation 8eb33f59-ff2a-452b-9635-0498995d3b59 · outbound

This paper cites Análisis forense de imágenes de tatuajes para identificación de individuos.

Bridging the Modality Gap in Forensic Image Retrieval Análisis forense de imágenes de tatuajes para identificación de individuos

Reference 33

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Observation 002724c5-78b5-4b6e-96c1-238d32c2980e · outbound

This paper cites Artificialintelligenceinmobileforensics:Asurveyofcurrentstatus,ausecaseanalysis and ai alignment objectives.

Bridging the Modality Gap in Forensic Image Retrieval Artificialintelligenceinmobileforensics:Asurveyofcurrentstatus,ausecaseanalysis and ai alignment objectives

Reference 34

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arxiv_id, observed 2026-06-27T10:10:48.705772Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 73309d64-21d7-4b3a-b09e-da79998d0a89 · outbound

This paper cites Localdeepfeaturesforcompositefacesketch recognition.

Bridging the Modality Gap in Forensic Image Retrieval Localdeepfeaturesforcompositefacesketch recognition

Reference 35

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Observation 2129de9a-2dcf-48db-9d90-de23fd809834 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Bridging the Modality Gap in Forensic Image Retrieval Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 36

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local_arxiv, observed 2026-07-03T10:17:57.991471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:06:22.362644Z digest=sha256:a6e863f971c6a3a288018f355b0f6e49eea4688e4b2f2758921b13870381c6f5

Observation 69640b20-4d48-481c-92c2-509213c82d49 · outbound

This paper cites Exploring the potential of large language models for improving digital forensic investigation efficiency.

Bridging the Modality Gap in Forensic Image Retrieval Exploring the potential of large language models for improving digital forensic investigation efficiency

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-27T10:10:48.702706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:06:22.362644Z digest=sha256:bc4af75f2c10e8728006ce96434e8616a05dd2374e63f270627ac22a96ca2520

Observation 852300ce-e9f1-4c53-9f06-0dd0f71f3b7c · outbound

This paper cites Training-free Zero-shot Composed Image Retrieval via Weighted Modality Fusion and Similarity.

Bridging the Modality Gap in Forensic Image Retrieval Training-free Zero-shot Composed Image Retrieval via Weighted Modality Fusion and Similarity

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:57.998235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:06:22.362644Z digest=sha256:58d218ed401a8eb2d17546e4f0be713cc7a6d860dc924892813a83f84ead35d1

Observation 0b193ea1-63ed-47b1-819e-41d4ba0524cf · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

Bridging the Modality Gap in Forensic Image Retrieval DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:17:57.993631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:06:22.362644Z digest=sha256:0630b7520d8fe54ec9c83fd46552fcd969279063797af350772382908017247b

Observation a6f5325e-821a-4f5f-b2db-ed4822278cb4 · outbound

This paper cites TattoosinForensics:Retrieval,DetectionandSynthesis.

Bridging the Modality Gap in Forensic Image Retrieval TattoosinForensics:Retrieval,DetectionandSynthesis

Reference 40

Resolution
verified exact
doi, observed 2026-06-27T10:10:48.687560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:06:22.362644Z digest=sha256:dddc07e604a20bea315f0d5179b29156cf1a31a86633f2a564900954f9bf361b

Observation cd4755d7-13b6-40fc-b0f4-993332ccf180 · outbound

This paper cites an unresolved cited work.

Bridging the Modality Gap in Forensic Image Retrieval Unresolved cited work

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-27T10:10:48.691251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:06:22.362644Z digest=sha256:24ffc335123073c97ba04f2c0ac3a9f1466dff8710db9ac83178c87c8d8fa3e9

Pith citing papers

No inbound Pith citation observations are available.