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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 10 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 2026-08-10T06:31:04.303077+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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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=sha256:36ae48992ae633b0573b009deea5da0238049ae8604b792fb4ed32208f45282c

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=sha256:4eacfaf05a07495ceb67d7ea9fee4947071cb2b78249482540914f9c592083f4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T23:02:57.344680Z digest=sha256:86ce78c1d57d43c0082c852b0e8dcc4c0cb65d1ddfed386ec80b5ae8af8e30da

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=sha256:05e6160ac8b7266ef94bc49712f56fdda27224e0a7e4cfa740ef19dced417a34

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=sha256:434123c35d95e5606ad802d132381f61f53938938754080ec8d5118693a80b99

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:e51697757a8c6ab7e9b11e866f95d0f061c93757a33b2db61fd07430bcce6936

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=sha256:9081b807d3d1c8e5ad4de67c8c4108c9d9f1c8992f779049448a4b355040d4c5

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:ef96ed28b2a299c80befe983dd3fc951aec509035c84d5af5cc84050f5cef81b

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:dbc14a6b72e49ddad9d2d776950e3438a701896b9c660c7dbc720269b4472d11

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:dc759b7119681cb046dbe395b810fa90fa9de9ce287a34b4a9dfa14727668dba

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=sha256:89035c9976b81d35d366b4229ee8014a1c48652e6d145cdcef4c35a8f860d6fa

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:c1fdff9024ebf145de5c6afaa910834549c1d60a106127e657a7574c5e03b88c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T23:02:57.402026Z digest=sha256:5057f2970d03df71fea79dbc0a168c55c3769873313b5bf7915474fc116f1a92

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:a4a0f5b3edc13a229e4bfaea2301e58f86594f6fd606e0bf7f90d20b2dfc93d0

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:a7caf0d2f37a150c8192fe3686658a3f1bdc1a84e29063e886ee93acca0fa8a4

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=sha256:9ad7afe5ac0f34eca98a065fd1609396c480fe21951e3fbedc73a1b26429b648

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=sha256:5c1a3400695f9336c83160a46b77f1d60ff0d1ee3e6357cb75c6f8f362729bec

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:d31ad9a33fd2f010427e0191a8aa8abdd8b7f6450eead17519477efd96de4a44

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=sha256:4f6f1d96e3e29fb61834cc7efdace38a6414f14b9852917d465b30ceeffc9824

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:d62cfafaf5f6bdfec91a8cd4c262a5928d90a8e0fcaed1927cde8490e8287499

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=sha256:8ba4cc1a8ec75a58a1fac9ab8b4bbf47b05cac105a3bff5767dbbb03ff22a518

Pith citing papers

No inbound Pith citation observations are available.