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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 7 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 2026-08-07T06:34:17.273281+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

Resolution
unresolved
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=sha256:28a02d405a6f318d52ff0c7901c0bb80e3db210c0b43433249e399a59e0f90f3

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=sha256:283c4b503fd53e5c13353b4356401f7cd8e93b59e0c340a7fe3a29f8f986ac7b

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:02:57.344680Z digest=sha256:218e167ad337c25a30bbd479245e6b5bd7f2f37b4eee66b1b90cb4386b0dccd5

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:da0e3b34d925b0d59f36138c8d4c192fd372ef3bc4ce2a0c704b6e6b620eb357

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

Resolution
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:cfeca34fbb9b9a0b6dc1a04717e0dd6dcc2c274f0b20d50bbb5d859a307ce783

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:ed11ce9598061917760a9eae64407524d66083044613c265209c34dd2b902d36

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=sha256:913efc08833cafe5e0443e623726d17a85ba7d2bf2ef26d1a63b06c38c8b4c5f

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

Resolution
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=sha256:7ffbba598181be1b69426c58b3c1a66d34427d45d1f55b92a95480622c4011e7

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

Resolution
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:c707862ab24eb4033bd0070c4db5684dfe801b334d6665b81dfc7a16000dfe4a

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

Resolution
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:c2bd0c9313d0a4d900fb4bdf0f195063dffb449820d4747943d9ece640afb553

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

Resolution
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=sha256:4acd7334f71c679bf91c36744fb31fdf2736b2573bb14e98c30161d94f1c5fe9

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:a77333e1baadd3ea2ca51e4e9f84a1bcb7771e616826a802a9ac608f9fbc8f82

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:02:57.402026Z digest=sha256:181a648297e456f5960125ab2ff66d986dc7e491e3efcb009a02d79f79c95785

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

Resolution
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=sha256:8b974df567e58606ab3eb8d4c022b0eb04f700bc80dd635d84c34827f1de4876

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

Resolution
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:ed9499d1868ce68630b4a996e48ae4913acfc10234aa0f855329c21fc76b8efc

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=sha256:2550f4dbc37b845414b3ef9613de5f0021e69173247da71159b0e922f2531fee

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:dffaf0de6ba1b0b140ab74427a688c07645356c0b66d5cdb92049b8c1aa4615a

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

Resolution
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:d089bc7266469a0dacd188f0937e81e73521e3312465e817cb91f726f28946ec

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=sha256:687e19cbb3247bbfaf8f7de43c8d710d40f78202d0efc2b04422e1cd66060f4a

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

Resolution
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=sha256:1ad0fc4c152a40582b48c9e68a77d593a5a7b0ccd998543cea1720b150ca1c27

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

Resolution
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:a0ac41cbed79861880a34d72353d76f3ffb9ecc2c0033d321648d8c3a16ac255

Pith citing papers

No inbound Pith citation observations are available.