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Paper Citation Record · LEDGER

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.20081.

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

pith.paper-citation-record.v1
2506.20081 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:02:57.443724Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd1964de-91b8-4027-a7d1-020f9f3112e7 · outbound

This paper cites online" 'onlinestring :=.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization online" 'onlinestring :=

Reference 1

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no resolver link, observed 2026-08-06T23:02:57.334520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.334520Z digest=sha256:94f401becb42005698cb718412b99324a7f05ef07103f8b00c2e15c84426bcbd

Observation 0fd8bd6d-f8cb-4dd3-b8ad-df350ea363f5 · outbound

This paper cites write newline.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-06T23:02:57.339795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.339795Z digest=sha256:fb541556d3379d8e66c9eb85ecfd33fd5cc2001408db115896f336f368f80c70

Observation 6295fdd5-884c-4a64-b9a4-3b1011460172 · outbound

This paper cites an unresolved cited work.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-06T23:02:57.907298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:02:57.344680Z digest=sha256:ac14f6aede233ec8ac8b0ebf05b0d038112fd294d2994b795fa13c604f85e821

Observation 21313747-0082-4b1b-bbe2-bc06fa1527c4 · outbound

This paper cites Program Synthesis with Large Language Models.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Program Synthesis with Large Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-06T23:02:57.350583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.350583Z digest=sha256:bcd7b65740acdee07e7e8a90f97bc138d4e91c3fc84ed805d5b53713d1e0c6e4

Observation c406d871-bab8-4dc0-8c47-d92d67a12acf · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Evaluating Large Language Models Trained on Code

Reference 5

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unresolved
no resolver link, observed 2026-08-06T23:02:57.355361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.355361Z digest=sha256:bff19838a66d57fff82ff733b698ff081574f8671a6dbee85ec6b8de2951126b

Observation 95b7e29b-dd9b-4675-aa92-abe79d1d6b2e · outbound

This paper cites an unresolved cited work.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:02:57.365814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.365814Z digest=sha256:e3fc766f6e8a79a693604573ac042fe234494f432ab9106f2e715fcd78fb5314

Observation 9d5c7e15-f627-4d77-b2f9-e166f691737c · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:02:57.370875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.370875Z digest=sha256:cc7eace79adc35d5d949e481d97474236884c77887d4402a75128a4002e0f84f

Observation ba662dbb-808f-49c1-bf8e-465ca5fbec41 · outbound

This paper cites Retrieval-Augmented Code Generation for Universal Information Extraction.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Retrieval-Augmented Code Generation for Universal Information Extraction

Reference 8

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unresolved
no resolver link, observed 2026-08-06T23:02:57.375769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.375769Z digest=sha256:ef70846b1e6b3c222fa7563bd81cac4ac7a507b78828d4f06d32c288c23705e8

Observation e6635b8f-3d12-4f0a-bb44-9a0128f88acf · outbound

This paper cites Qwen2.5-Coder Technical Report.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Qwen2.5-Coder Technical Report

Reference 9

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unresolved
no resolver link, observed 2026-08-06T23:02:57.381539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.381539Z digest=sha256:05218716fcc64c518dca2738cb4a93398c8bd0a12d842eef99ad24552e47aeb3

Observation f143abdf-a967-4650-8d4c-19ca6c5b6128 · outbound

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

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 10

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unresolved
no resolver link, observed 2026-08-06T23:02:57.386422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.386422Z digest=sha256:cbed1b1ec7d6e6c7347edeffd7c91fbd5589539b471d595324a97e894b0c4a91

Observation e0142236-3a52-4e9c-903e-8c8fa84efb48 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 11

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unresolved
no resolver link, observed 2026-08-06T23:02:57.391347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.391347Z digest=sha256:7e6a242e727265b6a451223e5969d6a3ad7175fd1564850215d01ef33e2dac25

Observation 1909efc5-6f8d-43ca-ae3c-ec0c8ed3aefc · outbound

This paper cites an unresolved cited work.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:02:57.396697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.396697Z digest=sha256:2aeec1fd84b4a80752c855f3309a92ad1719ef869f449341cfcd89dddad9d061

Observation c1d4ab6d-c69d-4521-988f-a50c54050077 · outbound

This paper cites an unresolved cited work.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:02:57.884261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T23:02:57.402026Z digest=sha256:3d63c1272ed6abd69aa9867d0769087d2728df3ca219320c968bae9b84fd7a1b

Observation d1a4e82b-7e75-41d2-a473-869b8b2252d3 · outbound

This paper cites ReACC: A Retrieval-Augmented Code Completion Framework.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization ReACC: A Retrieval-Augmented Code Completion Framework

Reference 14

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unresolved
no resolver link, observed 2026-08-06T23:02:57.406585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.406585Z digest=sha256:b076249796e454e3eb04e39e5b5ecca24cbd4d274d50f50b0397b33caed25b11

Observation 0624ddb6-0179-42f2-b183-fb8e9264e45d · outbound

This paper cites AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization AgentFL: Scaling LLM-based Fault Localization to Project-Level Context

Reference 15

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unresolved
no resolver link, observed 2026-08-06T23:02:57.412652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.412652Z digest=sha256:c3e4f2d96f55ab7ac349c41c0e33b53fdc36fc1ff4ffb192385a0c335f9d0709

Observation 3ddb2f09-3420-47ba-a6d6-0f1b20d33583 · outbound

This paper cites GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:02:57.417547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.417547Z digest=sha256:ddb10e3a837364c7fcf8bbd6425cfc0d56209693d833c76b4f5354749cb77d81

Observation f4fa8429-ec30-4bd5-9383-b47b417f2de6 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:02:57.423612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.423612Z digest=sha256:4cafe841fda29ad30a3d49af5c871b60ebdb50674e0b8e6c38cfde348381254a

Observation 82b6ca1e-e86a-4ee1-b804-37f957fe9707 · outbound

This paper cites CodeRAG-Bench: Can Retrieval Augment Code Generation?.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 18

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unresolved
no resolver link, observed 2026-08-06T23:02:57.428267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.428267Z digest=sha256:b4602d7d6a8eb8309478310ac243e632305a4cb8189b57e14e5c112d86ab2498

Observation 19045bb5-82f4-4ccb-b3c9-8857a8f6c60a · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Agentless: Demystifying LLM-based Software Engineering Agents

Reference 19

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unresolved
no resolver link, observed 2026-08-06T23:02:57.433288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.433288Z digest=sha256:71b14eb24d43b588c42a7c9148c6c867c05c2a6106b802c4fd50512adc9d794f

Observation fe1897bf-170d-4750-8f41-897e6b88e098 · outbound

This paper cites an unresolved cited work.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-06T23:02:57.438752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.438752Z digest=sha256:0e58160b1cfbf4ed0c98b0ce6e361cb424cce724eab6adabe22e5e42806ec6e0

Observation c557e260-b281-4fc7-b0ee-e86750ce5d53 · outbound

This paper cites RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 21

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unresolved
no resolver link, observed 2026-08-06T23:02:57.443724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.443724Z digest=sha256:1e2622e484cef3d6125d696b0a96b7ae3301050f80e28c246559206ea5003729

Pith citing papers

No inbound Pith citation observations are available.