Paper Citation Record · LEDGER

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing

As of 14 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2412.11728.

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

pith.paper-citation-record.v1
2412.11728 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:46:16.644616Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:11:56.235998Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

verified exact10
verified fuzzy9
unresolved28
parse uncertain0
malformed identifier2
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5bf12339-b1c0-4bf2-8335-4f5b6d442394 · outbound

This paper cites Two studies of opportunistic programming: interleaving web foraging, learning, and writing code,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Two studies of opportunistic programming: interleaving web foraging, learning, and writing code,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.398531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0adcc1-d027-4e68-821e-f9ebece4e6f7 · outbound

This paper cites Portfolio: finding relevant functions and their usage,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Portfolio: finding relevant functions and their usage,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.403766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b3c511-44df-4a1f-9290-2d5a91799294 · outbound

This paper cites Codehow: Effective code search based on API understanding and extended boolean model (E),.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Codehow: Effective code search based on API understanding and extended boolean model (E),

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.408325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a025065-218c-459d-b2cd-10742ae7d37a · outbound

This paper cites Cocosoda: Effective contrastive learning for code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Cocosoda: Effective contrastive learning for code search,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.412751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a594123-91ac-4d1a-8772-e211a3d0ecd2 · outbound

This paper cites Retrieval on source code: a neural code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Retrieval on source code: a neural code search,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.416853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 895a4966-9243-4b84-9163-33d15bd73ceb · outbound

This paper cites When deep learning met code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing When deep learning met code search,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.421866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e686859-76f3-4b2c-90fe-227ff378b80b · outbound

This paper cites Coacor: Code annotation for code retrieval with reinforcement learning,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Coacor: Code annotation for code retrieval with reinforcement learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.427174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1e3d63-2c08-4114-8775-378732fae1a4 · outbound

This paper cites degraphcs: Embedding variable-based flow graph for neural code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing degraphcs: Embedding variable-based flow graph for neural code search,

Reference 8

Resolution: verified exact; doi, observed 2026-08-11T14:46:16.842801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 534846c7-9fce-49e1-9a36-bb6ad151875d · outbound

This paper cites Deep code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Deep code search,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.435616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55aca695-a089-4283-a9ad-cd515670426f · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.440552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7023fd8e-8808-4e9b-bab0-f5504b1c3a89 · outbound

This paper cites Cradle: Deep code retrieval based on semantic dependency learning,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Cradle: Deep code retrieval based on semantic dependency learning,

Reference 11

Resolution: verified exact; doi, observed 2026-08-11T14:46:16.829794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5bf73de-99cb-4dc5-bc9f-84fbf434b5bd · outbound

This paper cites Retrieval augmented code generation and summarization,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Retrieval augmented code generation and summarization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:18.848860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f0805306-d850-42a1-a5c8-6fd793dc123c · outbound

This paper cites Accelerating code search with deep hashing and code classification,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Accelerating code search with deep hashing and code classification,

Reference 13

Resolution: verified exact; doi, observed 2026-08-11T14:46:16.815869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 58c2c9c2-499e-4316-b207-fd5003e82d6d · outbound

This paper cites A survey on deep hashing methods,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing A survey on deep hashing methods,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.460463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2efa0b19-a235-49c6-a45c-d3748ae925a0 · outbound

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

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Learning to hash: a comprehensive survey of deep learning-based hashing methods,

Reference 15

Resolution: verified exact; doi, observed 2026-08-11T14:46:16.793935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10bf753e-57a6-488e-b36d-7db2e310ec60 · outbound

This paper cites Deep hashing for multi-label image retrieval: a survey,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Deep hashing for multi-label image retrieval: a survey,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:18.836973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5991fda1-3f12-46e8-9a14-a6c83794bbe4 · outbound

This paper cites Learning to hash for indexing big data - A survey,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Learning to hash for indexing big data - A survey,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:18.823624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9e1b74e0-10e1-429e-a93b-5fe7c18cef86 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Codebert: A pre-trained model for programming and natural languages,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.483999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96514db1-8f37-413a-bf45-89ac1ea44d8b · outbound

This paper cites Graphcodebert: Pre-training code representations with data flow,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Graphcodebert: Pre-training code representations with data flow,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:18.809906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9345063-0256-4d89-91a6-52cd6771f5a5 · outbound

This paper cites Deep joint-semantics reconstructing hashing for large-scale unsupervised cross-modal retrieval,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Deep joint-semantics reconstructing hashing for large-scale unsupervised cross-modal retrieval,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99164957-bfa1-4059-8e34-5b085538e2c1 · outbound

This paper cites Deep semantic-alignment hashing for unsupervised cross-modal retrieval,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Deep semantic-alignment hashing for unsupervised cross-modal retrieval,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.501535Z

Source-reported events for the cited work

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Observation 163c1cdd-442c-495a-bbad-82d1c036ddd9 · outbound

This paper cites Joint-modal distribution-based similarity hashing for large-scale unsupervised deep cross-modal retrieval,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Joint-modal distribution-based similarity hashing for large-scale unsupervised deep cross-modal retrieval,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.505495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db607b43-60ad-4661-8bdb-13865a868bc1 · outbound

This paper cites Locality-sensitive hashing scheme based on p-stable distributions,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Locality-sensitive hashing scheme based on p-stable distributions,

Reference 23

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Source-reported events for the cited work

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Observation 5ea841f1-6fc0-48c8-8b76-7069ed3783da · outbound

This paper cites Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.513805Z

Source-reported events for the cited work

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Observation aa740d21-008a-45b7-bbf3-1a5b4d31ba46 · outbound

This paper cites A statistical interpretation of term specificity and its application in retrieval,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing A statistical interpretation of term specificity and its application in retrieval,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:18.796205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b4694d2-c4e8-4d21-9db3-0e878f641842 · outbound

This paper cites A multi- perspective architecture for semantic code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing A multi- perspective architecture for semantic code search,

Reference 26

Resolution: verified exact; doi, observed 2026-08-11T14:46:16.748145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation be235c72-a997-437f-9a44-70cc34c05e3c · outbound

This paper cites Improving code search with co-attentive representation learning,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Improving code search with co-attentive representation learning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.539147Z

Source-reported events for the cited work

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Observation ab73b0f0-f3db-4d73-969d-0f3661afc3fc · outbound

This paper cites Self-attention networks for code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Self-attention networks for code search,

Reference 28

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Source-reported events for the cited work

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Observation 62169e3d-0c61-4655-be1a-451a26656b8f · outbound

This paper cites Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.549452Z

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Observation 7e73dd8b-720f-4e5e-80a4-1fe57e47d560 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Adam: A Method for Stochastic Optimization

Reference 30

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Observation ee846f1e-b410-42b4-a6e3-ef2490bec52b · outbound

This paper cites Enriching word vectors with subword information,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Enriching word vectors with subword information,

Reference 31

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Observation e887bb80-d7ea-40f4-a610-ef426a841bd4 · outbound

This paper cites Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,

Reference 32

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Observation bcab37d1-a8fd-43ca-98a6-daef8b62140c · outbound

This paper cites Spt- code: Sequence-to-sequence pre-training for learning source code representations,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Spt- code: Sequence-to-sequence pre-training for learning source code representations,

Reference 33

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Source-reported events for the cited work

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Observation a433df2c-484d-45cf-abdd-07baf9be2c90 · outbound

This paper cites SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.571881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37cd14e5-303c-415f-a8f8-da48b254fcea · outbound

This paper cites Unixcoder: Unified cross-modal pre-training for code representation,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Unixcoder: Unified cross-modal pre-training for code representation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.576442Z

Source-reported events for the cited work

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Observation 682f8511-1eb4-4866-9af0-4f01becc4bca · outbound

This paper cites Self-supervised contrastive learning for code retrieval and summarization via semantic-preserving transformations,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Self-supervised contrastive learning for code retrieval and summarization via semantic-preserving transformations,

Reference 36

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Source-reported events for the cited work

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Observation 78a775b2-a216-4fc4-a0f2-24837699acb8 · outbound

This paper cites Cocosoda: Effective contrastive learning for code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Cocosoda: Effective contrastive learning for code search,

Reference 37

Resolution: verified exact; raw_fallback, observed 2026-08-11T14:46:17.596053Z

Source-reported events for the cited work

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Observation 4d3aada4-6b05-4432-b508-a88b05607329 · outbound

This paper cites Graphsearchnet: Enhancing gnns via capturing global dependencies for semantic code search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Graphsearchnet: Enhancing gnns via capturing global dependencies for semantic code search,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:18.766411Z

Source-reported events for the cited work

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Observation 3a07d833-636e-4e62-bed1-0d559b8c9c11 · outbound

This paper cites LSH forest: self-tuning indexes for similarity search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing LSH forest: self-tuning indexes for similarity search,

Reference 39

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T14:46:17.430427Z

Source-reported events for the cited work

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Observation aa3841ce-68f2-4ef3-8031-fc2703d8cc77 · outbound

This paper cites Locality-sensitive hashing scheme based on dynamic collision counting,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Locality-sensitive hashing scheme based on dynamic collision counting,

Reference 40

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Observation 48b91e10-0309-4d0e-a739-e4f77e26e2fc · outbound

This paper cites Query-aware locality-sensitive hashing for approximate nearest neighbor search,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Query-aware locality-sensitive hashing for approximate nearest neighbor search,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:18.751709Z

Source-reported events for the cited work

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Observation 9b0345bc-07e1-4241-b435-3e959790b8ce · outbound

This paper cites Semantic hashing,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Semantic hashing,

Reference 42

Resolution: verified exact; doi, observed 2026-08-11T14:46:16.718949Z

Source-reported events for the cited work

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Observation ed7ee657-cb88-44e2-aab3-70c5651dd013 · outbound

This paper cites Data fusion through cross-modality metric learning using similarity-sensitive hashing,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Data fusion through cross-modality metric learning using similarity-sensitive hashing,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.614405Z

Source-reported events for the cited work

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Observation aee01f09-83b1-41ae-8a63-c7fd0c21f9f4 · outbound

This paper cites Large-scale supervised multimodal hashing with semantic correlation maximization,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Large-scale supervised multimodal hashing with semantic correlation maximization,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:18.738734Z

Source-reported events for the cited work

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Observation 4c3ab5ff-14df-4880-a029-a14a072d4f44 · outbound

This paper cites Semantics-preserving hashing for cross-view retrieval,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Semantics-preserving hashing for cross-view retrieval,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.622811Z

Source-reported events for the cited work

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Observation 4ff44390-47c3-493e-b15d-1d5ee5123d0e · outbound

This paper cites Multi-scale correlation for sequential cross-modal hashing learning,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Multi-scale correlation for sequential cross-modal hashing learning,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.626769Z

Source-reported events for the cited work

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Observation 29e3ed2b-567e-4c2d-a78e-9443d436b5d9 · outbound

This paper cites Collective matrix factorization hashing for multimodal data,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Collective matrix factorization hashing for multimodal data,

Reference 47

Resolution: verified exact; doi, observed 2026-08-11T14:46:16.705644Z

Source-reported events for the cited work

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Observation 528bc114-156f-4eb0-bf5b-e90adff9d4df · outbound

This paper cites Unsupervised deep hashing via binary latent factor models for large-scale cross-modal retrieval,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Unsupervised deep hashing via binary latent factor models for large-scale cross-modal retrieval,

Reference 48

Resolution: verified exact; doi, observed 2026-08-11T14:46:16.691856Z

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Observation 0375bee9-b4ba-4caf-8f22-1d88fa619186 · outbound

This paper cites Ternary Hashing.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Ternary Hashing

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:46:17.019141Z

Source-reported events for the cited work

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Observation ce67973f-2f2e-4705-aa4f-73eb4413fad0 · outbound

This paper cites Deep variational and structural hashing,.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Deep variational and structural hashing,

Reference 50

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T14:46:16.998790Z

Source-reported events for the cited work

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Observation 9862dc72-b948-49b6-8bf1-4f78f4f0cdcf · outbound

This paper cites Available: https://doi.org/10.1108/00220410410560573.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Available: https://doi.org/10.1108/00220410410560573

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:16.525420Z

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Observation f20d4ca8-fd08-4774-b515-2eb6b7543312 · outbound

This paper cites Available: https://doi.org/10.1109/JPROC.2015.2487976.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Available: https://doi.org/10.1109/JPROC.2015.2487976

Reference 2016

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T14:46:18.237613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 214d6f2b-a3da-42dd-8da2-8c54a68a8796 · outbound

This paper cites Available: https://doi.org/10.1109/TSE.2022.3233901.

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Available: https://doi.org/10.1109/TSE.2022.3233901

Reference 2023

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T14:46:17.527063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 668fc869-3607-4dc1-ade7-0fdf0a21fc02 · inbound

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents cites this paper.

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T14:11:56.235998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.