Pith. sign in

Paper Citation Record · LEDGER

Large Language Models for Software Engineering: Survey and Open Problems

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2310.03533.

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

pith.paper-citation-record.v1
2310.03533 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:26:17.800162Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:46.278502Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 40c7843e-aff4-44e7-9a58-109e0c6355de · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs Large Language Models for Software Engineering: Survey and Open Problems

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:14:10.402440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T08:11:01.612343Z digest=sha256:0f8edfa3f25f130b106d669594a0d6f3314dad2e8c2bcff00eee5cb323be127f

Observation 87649d9b-4049-4059-88a8-a85d19b5f014 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 198

Resolution
verified exact
arxiv_id, observed 2026-05-12T17:28:22.718958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:18186bbd49e53ffd1e2bf6ab4c89a46a13a2921b1994da58e9802e71b57e5bb4

Observation f9cc8e12-3331-4343-87bd-38ea7a3ee08f · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Large Language Models for Software Engineering: Survey and Open Problems

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T17:34:43.020102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:dd561df656f338462e3b621a43124c1a23aae1433d888ee97c71173086401fac

Observation d3a4a5af-fdf4-48af-801f-d4e862b8dae6 · inbound

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation cites this paper.

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:23:46.164298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T02:19:23.135463Z digest=sha256:43b438d264cfca35329cb3b8880205d4d708f4eb0d56c9edb8a046f338d96ddd

Observation 58c82fc5-83ee-4b26-ac5e-59771c697e03 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Large Language Models for Software Engineering: Survey and Open Problems

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.794070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:074e60d95792e08945cea9d1420a3dc299097ebb7986050170277d44f0a69e00

Observation 9d5ac315-8cc8-494e-9904-3b673c0c1a1f · inbound

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering cites this paper.

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering Large Language Models for Software Engineering: Survey and Open Problems

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:33:16.005019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T17:30:20.359630Z digest=sha256:786a9dd01d3cd70c23f41c7b450545dab0ed07f34f7b09dba3ac59ee1a9ee662

Observation bc59507a-4adb-4dfc-8c6f-ab46c5046285 · inbound

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models cites this paper.

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models Large Language Models for Software Engineering: Survey and Open Problems

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T17:33:15.858813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T17:30:54.204300Z digest=sha256:6e4f35d1aadd75fb350ef9262a1830021197006d980f6842907aae5df5f03a37

Observation 8f841de9-815f-4ee0-83d0-e213ca957ed7 · inbound

Development of Automated Software Design Document Review Methods Using Large Language Models cites this paper.

Development of Automated Software Design Document Review Methods Using Large Language Models Large Language Models for Software Engineering: Survey and Open Problems

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:17.800162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:17.800162Z digest=sha256:9ae3af18d69f5b90f1732288200965f22c12a26d6a26208d4662bd4e18b1c41e

Observation ba435cbe-e1c5-4c9f-9dee-d33ce03ae3f0 · inbound

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review cites this paper.

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review Large Language Models for Software Engineering: Survey and Open Problems

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:50:16.689668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T18:49:01.097179Z digest=sha256:bf1150a9088a0aab21af4c956b9171dde53d32d4f26035534cb6b225cd754445

Observation ccdadde8-2adf-4f4d-879c-7e1472d7fe70 · inbound

A Taxonomy of Programming Languages for Code Generation cites this paper.

A Taxonomy of Programming Languages for Code Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:56:14.185794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-08T02:17:18.127674Z digest=sha256:f2e2dda64f7d4e1652ee2f730882a8eeed5c30b588b039f264cb02fc5087c2bc

Observation 4bcb09d1-fb08-4d74-81a0-abc7f4e92367 · inbound

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks cites this paper.

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks Large Language Models for Software Engineering: Survey and Open Problems

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:53:15.882481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:51:00.073781Z digest=sha256:57306a61b2c062f0cc390ff2d4774a6455733fcce433a125608f0d6b57197dd4

Observation de066e35-b522-4da8-86a7-e41682a3edc3 · inbound

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation cites this paper.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Large Language Models for Software Engineering: Survey and Open Problems

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:40:27.571855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:00:56.512868Z digest=sha256:232c11f3547cba788b3a04b438bb2dad0393ce721f861fc8d0ba59302afb1727

Observation 2e1462a0-b3f3-430d-b09a-047a23e1b230 · inbound

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering cites this paper.

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering Large Language Models for Software Engineering: Survey and Open Problems

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:32:00.327415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T07:29:03.994957Z digest=sha256:7b055deb3dedaa5f41f6ac3c1d1dfe69501c9372cb9b33bd321318da1160c876

Observation 64f8b64b-2fb2-4f1a-bb47-979cfb611e92 · inbound

Trust-Aware Multi-Agent Traceability: Confidence-Calibrated Knowledge Graphs for Consistent Software Artifact Management cites this paper.

Trust-Aware Multi-Agent Traceability: Confidence-Calibrated Knowledge Graphs for Consistent Software Artifact Management Large Language Models for Software Engineering: Survey and Open Problems

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:38:48.851394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T02:48:11.013683Z digest=sha256:ee720f5299a8bc0b69943be110d671164a4a5ba8be971b5e6d59e455bf612c1f

Observation 10d92fab-39a0-472f-b2ef-a3bb607aaab7 · inbound

CornerCase: Automated Extremal Testing of Protocol Implementations using LLMs cites this paper.

CornerCase: Automated Extremal Testing of Protocol Implementations using LLMs Large Language Models for Software Engineering: Survey and Open Problems

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:04:13.942706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T02:58:38.075467Z digest=sha256:a2e19b0cd6cfe2aa6f849d2f7bc3a2463b2f9d9c205b42e6f00ba1f5797a47dc

Observation 828433b5-84cf-402a-8de9-5ef0c99b3fe9 · inbound

Akashic: A Low-Overhead LLM Inference Service with MemAttention cites this paper.

Akashic: A Low-Overhead LLM Inference Service with MemAttention Large Language Models for Software Engineering: Survey and Open Problems

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:27:46.297079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-11T03:21:33.871506Z digest=sha256:3268ebb2fc6633c5c3bdb42584b8c44e200819a7df8985725e1aea6240b5c149

Observation 37c7a262-8f47-4c1d-9e54-517f7824a3c1 · inbound

Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.

Quantize with Confidence? An Empirical Study of Quantization for Code Generation Large Language Models for Software Engineering: Survey and Open Problems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T03:32:47.207871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:32:47.207871Z digest=sha256:3f3ce4f32b6f355f6f214234421a290fa312d4e22fe2e543e9b9de9d953e5b84