Paper Citation Record · LEDGER

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing

As of 17 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2607.24567.

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

pith.paper-citation-record.v1
2607.24567 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T11:37:35.670873Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T04:33:04.679956Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact4
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier5
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26a00435-03c4-42cb-87eb-4f5214d45675 · outbound

This paper cites A Survey on Deep Hashing Methods,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing A Survey on Deep Hashing Methods,

Reference 1

Resolution: verified exact; doi, observed 2026-07-31T11:41:35.119775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a4ef010-b4e3-42ce-ade6-891a3f529464 · outbound

This paper cites Learning to hash: A comprehensive survey of deep learning-based hashing methods,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Learning to hash: A comprehensive survey of deep learning-based hashing methods,

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-07-31T11:37:34.052949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee3b3599-b02c-4f1f-82cb-b7b503a7f5d9 · outbound

This paper cites Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.118344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a8a5ed8-9b55-4649-8e0b-8d6cbddeb715 · outbound

This paper cites The State of the Art for Cross-Modal Retrieval: A Survey,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing The State of the Art for Cross-Modal Retrieval: A Survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.183739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a993f2-3d74-4f5d-97cc-037af7a074b6 · outbound

This paper cites Deep Hashing for Scalable Image Search,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Deep Hashing for Scalable Image Search,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.242036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b86ab09-9078-404c-ac8b-487db0edd360 · outbound

This paper cites Robust and Secure Image Fingerprinting Learned by Neural Network,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Robust and Secure Image Fingerprinting Learned by Neural Network,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.282117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a065693-f2d7-4db2-8c06-6433e70e1c4f · outbound

This paper cites Deep Semantic Reconstruction Hashing for Similarity Retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Deep Semantic Reconstruction Hashing for Similarity Retrieval,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.321892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f1d57d4-3ae5-4fad-ae16-75fb9e31db33 · outbound

This paper cites TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.367008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf1e1897-3a93-4aed-80ff-b88f0d9bedeb · outbound

This paper cites Deep Semantic Hashing Using Pairwise Labels,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Deep Semantic Hashing Using Pairwise Labels,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.406272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97ca135-fa5f-41ac-8d33-1f50fb0b3a51 · outbound

This paper cites Deep Cross-Modal Hashing,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Deep Cross-Modal Hashing,

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-07-31T11:37:34.450824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7affe7e6-32a8-464b-83c3-1ecd9febe185 · outbound

This paper cites Deep Cross-modal Hashing Retrieval Based on Semantics Preserving and Vision Transformer,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Deep Cross-modal Hashing Retrieval Based on Semantics Preserving and Vision Transformer,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.518980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b792f9a-3dda-4b54-9197-1e516e4cc012 · outbound

This paper cites TECMH: Transformer- Based Cross-Modal Hashing For Fine-Grained Image-Text Retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing TECMH: Transformer- Based Cross-Modal Hashing For Fine-Grained Image-Text Retrieval,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.554947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3bdfeee-a2a1-4d6e-8234-712f5d98b539 · outbound

This paper cites Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.589858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ee7995-0680-4cd0-8be6-b9f2a90749a4 · outbound

This paper cites Transformer-Based Discriminative and Strong Rep- resentation Deep Hashing for Cross-Modal Retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Transformer-Based Discriminative and Strong Rep- resentation Deep Hashing for Cross-Modal Retrieval,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.630507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90bdc997-4911-4867-99a9-0eff8acbe542 · outbound

This paper cites When CLIP meets cross- modal hashing retrieval: A new strong baseline,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing When CLIP meets cross- modal hashing retrieval: A new strong baseline,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.671109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0506c22-d4b6-46a8-a21e-d36122c1e177 · outbound

This paper cites Similarity Preserving Transformer Cross-Modal Hashing for Video-Text Re- trieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Similarity Preserving Transformer Cross-Modal Hashing for Video-Text Re- trieval,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.716208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c6d94f-3c5e-4d34-97ba-44c218e1f941 · outbound

This paper cites CKDH: CLIP- Based Knowledge Distillation Hashing for Cross-Modal Retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing CKDH: CLIP- Based Knowledge Distillation Hashing for Cross-Modal Retrieval,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.727543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9cb430-63d4-4867-8809-acdd53f80332 · outbound

This paper cites Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.793070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e980e6e-6421-49a3-b40b-6965b28c4e8c · outbound

This paper cites CLIP Multi-modal Hashing for Multimedia Retrieval.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing CLIP Multi-modal Hashing for Multimedia Retrieval

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.829439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d5fb63-3006-459b-a9e5-ebdc696dc36f · outbound

This paper cites Convolutional networks and applications in vision,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Convolutional networks and applications in vision,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.862214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec860a17-a695-4dde-864a-7225537cb54c · outbound

This paper cites ImageNet Classifi- cation with Deep Convolutional Neural Networks,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing ImageNet Classifi- cation with Deep Convolutional Neural Networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.895008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dda161f7-46eb-410a-a82b-9ff01617e9bd · outbound

This paper cites Deep Residual Learning for Image Recognition.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Deep Residual Learning for Image Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.918734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236ba413-424c-41b1-9bb1-b0dbb47c306c · outbound

This paper cites Triplet-Based Deep Hashing Network for Cross-Modal Retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Triplet-Based Deep Hashing Network for Cross-Modal Retrieval,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:34.956129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79749251-5549-4a1e-8d58-4382c9583875 · outbound

This paper cites CLIP-based fusion-modal reconstructing hashing for large-scale unsupervised cross- modal retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing CLIP-based fusion-modal reconstructing hashing for large-scale unsupervised cross- modal retrieval,

Reference 24

Resolution: malformed identifier; doi_truncated, observed 2026-07-31T11:41:34.823291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 984cae5f-66b2-444c-af01-6b5c20707d9c · outbound

This paper cites Attention Is All You Need.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Attention Is All You Need

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.047778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544d1819-c9bb-4d6d-9ad6-cabd57c7ca34 · outbound

This paper cites Advancements in natural language processing: Implications, challenges, and future directions,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Advancements in natural language processing: Implications, challenges, and future directions,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.090864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95478b79-987b-471a-abf6-1610d2337be0 · outbound

This paper cites Hashing as Tie-Aware Learning to Rank.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Hashing as Tie-Aware Learning to Rank

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.131827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 769c0f8a-3dd8-4c98-8432-01bc1a519721 · outbound

This paper cites NUS- WIDE: A real-world web image database from National University 12 of Singapore,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing NUS- WIDE: A real-world web image database from National University 12 of Singapore,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.171520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 965ad67c-7e1b-4527-a448-72113ef58ea1 · outbound

This paper cites The MIR flickr retrieval evaluation,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing The MIR flickr retrieval evaluation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.212168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c5d6337-ee08-4e0a-a439-7f965d3f25dd · outbound

This paper cites On the Stratification of Multi-label Data,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing On the Stratification of Multi-label Data,

Reference 30

Resolution: verified exact; doi, observed 2026-07-31T11:41:34.408849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b47817f6-a74a-4e1f-b9e6-f4effe61788e · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Efficient Estimation of Word Representations in Vector Space

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.285061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d76d5419-030a-4093-b3c8-0f81df2a1fe4 · outbound

This paper cites Garbe,Symspellpy: Python SymSpell, version 6.9.0, Mar.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Garbe,Symspellpy: Python SymSpell, version 6.9.0, Mar

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.324738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7261c3a-ed5a-48a7-bad2-4522ac8ebf6a · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Learning Transferable Visual Models From Natural Language Supervision,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.360729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e46ca2c-c1b8-4879-8e94-d913c50fd73f · outbound

This paper cites Data Filtering Networks.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Data Filtering Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.395681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45bf3f1d-5ab7-495f-b810-530e47d6ec9a · outbound

This paper cites Ilharco et al.,OpenCLIP, version 3.1, Zenodo, Jul.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Ilharco et al.,OpenCLIP, version 3.1, Zenodo, Jul

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.430461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9e9489-7909-4671-a3a4-3f692bcf8542 · outbound

This paper cites CLIP4Hashing: Unsupervised Deep Hashing for Cross-Modal Video-Text Retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing CLIP4Hashing: Unsupervised Deep Hashing for Cross-Modal Video-Text Retrieval,

Reference 36

Resolution: malformed identifier; no resolver link, observed 2026-07-31T11:37:35.464617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 739397a0-d23e-4d63-9685-c9c0ec80b3b0 · outbound

This paper cites CCAH: A CLIP-Based Cycle Align- ment Hashing Method for Unsupervised Vision-Text Retrieval,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing CCAH: A CLIP-Based Cycle Align- ment Hashing Method for Unsupervised Vision-Text Retrieval,

Reference 37

Resolution: verified exact; doi, observed 2026-07-31T11:41:34.192983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b1747281-8d10-48d9-a26d-6e8dd7908b20 · outbound

This paper cites A Highly Efficient Zero- Shot Cross-Modal Hashing Method Based on CLIP,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing A Highly Efficient Zero- Shot Cross-Modal Hashing Method Based on CLIP,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.538016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a456068-b21d-4b34-be62-4fbfb1d2faf0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Adam: A Method for Stochastic Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.574900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c18f66-f78d-4af7-a420-0f262f3ff582 · outbound

This paper cites Deep Semantic Hashing with Generative Adversarial Networks.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Deep Semantic Hashing with Generative Adversarial Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-31T11:37:35.590159Z

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Unavailable: canonical work link unavailable.

Observation 6b2be9ca-d55e-4fda-a4bc-be0e1467c457 · outbound

This paper cites A Comprehensive Survey of Image Augmentation Techniques for Deep Learning,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing A Comprehensive Survey of Image Augmentation Techniques for Deep Learning,

Reference 41

Resolution: malformed identifier; no resolver link, observed 2026-07-31T11:37:35.630617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01dc776-da13-46ae-80ce-b77c081752c2 · outbound

This paper cites Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores,.

DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores,

Reference 42

Resolution: verified exact; doi, observed 2026-07-31T11:41:33.918142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 7dace492-8dee-4a93-a085-d05373d04f84 · inbound

CosmoLattice 2.0 cites this paper.

CosmoLattice 2.0 DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-31T04:33:04.679956Z

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Unavailable: canonical work link unavailable.