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Paper Citation Record · LEDGER

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2501.02901.

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

pith.paper-citation-record.v1
2501.02901 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:07:48.943382Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:44:09.667087Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:15:37.878029Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d954fc62-b6ee-4ae3-b5a8-3223f80e849a · outbound

This paper cites https://github.com/openai/human-eval/.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model https://github.com/openai/human-eval/

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:49.908634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.767496Z digest=sha256:53ade35e01c5c7944db2dee7979e76aff31157bb4320c5039daa65ec98cf4f4a

Observation 6b55926c-86ac-4830-9bb4-b656b089d445 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:49.896419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.772999Z digest=sha256:673b1e5e9c8c2e55582293b3ec40e627d1bdf21be7a55c527c9542ae5fcc0017

Observation 652b7be0-8247-4a52-937c-165f620f7e39 · outbound

This paper cites https://github.com/CAIFANQI/DeCon.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model https://github.com/CAIFANQI/DeCon

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:49.882937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.779942Z digest=sha256:0ee4fe6ac8a8f2d3e553e4e6006f6c67a217076d9ea05bd4cf4c20fb423e522f

Observation 5ccc2591-03cc-4c17-84ce-bdf99915b6e2 · outbound

This paper cites Ahrens and Ulrich Dieter.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Ahrens and Ulrich Dieter

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:49.871655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.785791Z digest=sha256:5bddcaaa486b678b7e8fbebd956024180b3f5dec1f9c575038e588054d8db946

Observation 8e58bb3c-fee3-491a-a448-deb525ad87aa · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.793118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.793118Z digest=sha256:15730c9de15de4c2ccd92c8fb421f9e0c942a914aee2dfb6798330b264cb272c

Observation 32d05662-2556-4620-8f94-35aaac6be3f9 · outbound

This paper cites CodeT: Code Generation with Generated Tests.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model CodeT: Code Generation with Generated Tests

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.797883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.797883Z digest=sha256:150c60caa78d9e1995a68367db35bac7ed77d2e1afdeb3c3a39a9b0624e3e704

Observation 7dd4d7e5-cdab-4023-b839-7f24c5357d51 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Evaluating Large Language Models Trained on Code

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.802845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.802845Z digest=sha256:6fbdda56abda80b18528c61fbc318397a42b4675225d6356f2e6bd666943095f

Observation 993dda65-cfa9-4806-98ee-0182a9785e21 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:49.860092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.808963Z digest=sha256:5f907285736a260fcc2727ffbb2804d2d00519e7aa5d352aaf64d53a6d1c8f26

Observation 750ddc84-f30e-4e31-8b28-b19704b907cf · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.812911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.812911Z digest=sha256:d2ecfce145311c7e32c2d854b4cef56b01d0b4c94b08b761e9f5f7e4ad1cb25b

Observation ce44b5c5-5bde-40ca-b2c5-34e0768730c3 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:49.846466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.817527Z digest=sha256:62c8fbba5c31b29da714cce1aedd74cf991ae1649f7abef1f2044d6e17f0c14b

Observation a1cb87ca-72b2-4050-add9-53298c6e897e · outbound

This paper cites Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.822455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.822455Z digest=sha256:fd65736ed2b10d21bcf6830027ead9b9ab9a918e15ebcccd68a503f7dcec6c4f

Observation e960ea9a-63e7-41f1-9e06-55a2e64ad7a4 · outbound

This paper cites Evans and Alberto Savoia.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Evans and Alberto Savoia

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.827330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.827330Z digest=sha256:283fbe07c1960d4925c4fec643e09114dc0e38f6030326578e234d808f97eda0

Observation 6e871ebc-4d21-4ab1-bd9b-ed1d5dd42b60 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:49.835235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.830996Z digest=sha256:f7d544d2b36dd62cc67bef27767e6055077374502f1d2fb4ebefa06773c1f49a

Observation a68b7566-81c8-4fbc-8ebc-33745a3462a2 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.834729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.834729Z digest=sha256:4e9659f91ecbc1f1317f9b9772e1175f045db69cdfdf2ebd52eee69d9c42ac24

Observation 72845c4e-acd0-4c2b-9c75-d633afd7a909 · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model InCoder: A Generative Model for Code Infilling and Synthesis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.838512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.838512Z digest=sha256:80927fa07ec0778ba39a39bcd644527daa1c08780e36b099cf7186a85de4fba5

Observation d8c121b0-7eaf-42ff-b401-33c6ab974809 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.842666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.842666Z digest=sha256:7409b5238a7de3e9cdba5f56d29cb60ef97da3f19ccf1ed36e8a6381154e7b61

Observation 4b67d1a8-8311-4bd6-828c-f77426faf3c1 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:49.823379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.846817Z digest=sha256:ef6836a77311557d3d1eecec488b45e8c9b84924127550419982c7bd90dc8a14

Observation 0ebfaf09-1897-4c70-ba2c-409d03562dc5 · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.850704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.850704Z digest=sha256:124a0df94da0deade20d02454165f9b5f73850e4811865d51d715e0d0f8d8f30

Observation 0c42f138-a066-4cbb-bac3-86e9fa989653 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.854899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.854899Z digest=sha256:c0f8738b25a57593d95f290dc03bb50801b29d141e13b2386bfe683494b4c545

Observation a0f913fc-1c7f-484a-8e2f-4df74c2124bf · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.858607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.858607Z digest=sha256:23444ec6be79be787348d9d60b5ee6dd39d06f51b291166d979a723085397673

Observation 4152d650-f5b2-4df8-8069-fe2272d3d64d · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:49.811477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.862301Z digest=sha256:dffa89099ca43b98c50e45fb844991e3edab93868ddd398f0bf904edcd8efa08

Observation b7cf9782-44bf-47f6-bb36-084c9229c228 · outbound

This paper cites StarCoder: may the source be with you!.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model StarCoder: may the source be with you!

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.865962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.865962Z digest=sha256:c2bfabb66c0d19abaca38c3f0e5635ee3a5e0eabcd61acf0ada0b319d5c3295f

Observation 1edf6571-6205-4144-a8b1-64f4c4e4105d · outbound

This paper cites Competition-Level Code Generation with AlphaCode.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Competition-Level Code Generation with AlphaCode

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.869760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.869760Z digest=sha256:46c4d7b2eab6fe97cbd507a503cabe29f2c1eec80070bcdc3beeba752aec0528

Observation 7fe4b8c3-7b57-491e-a09c-92219c493669 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.873641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.873641Z digest=sha256:a298ab7aeef5a954e22f4133f73726a0b14f017a383fd1236a36f3d2eb0d8d77

Observation 00ceb0f6-bf66-479e-8f9e-42aba4dd0d60 · outbound

This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.877483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.877483Z digest=sha256:3c28a33bf6c6a117e645f63ea6e85dca46bcb91fb5600134e52517f8f4bc533c

Observation 9ef85566-dd31-4919-bf67-69ea1baebdcc · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:49.799199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.881057Z digest=sha256:433c8af70dc490cf8f9135c295160048ebf7709ee080ddcbd238f28447cda819

Observation 46c1aa4c-8ef5-4db8-9adc-085748bcf468 · outbound

This paper cites OctoPack: Instruction Tuning Code Large Language Models.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model OctoPack: Instruction Tuning Code Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.884650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.884650Z digest=sha256:36e340b8856191aedee8a94ecb414173fbcf9a42c35676ad481107118b85bb3e

Observation e0d68835-b109-422e-b1ba-4428ea5d1054 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.888655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.888655Z digest=sha256:2f66685320b6f6c792eeb9aed9aa9c111b941f940fc91cd5076ad88477211743

Observation 70330488-b980-45f7-bd06-b035b65da8d0 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.896823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.896823Z digest=sha256:f123ea56707ec2a646ce4abdf27b76207b2fe4e1381c023c80b60395ee3e106e

Observation e782099e-edb0-4ba7-9688-efb86da86da0 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.900622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.900622Z digest=sha256:e8bb2ea9851e5124dc96bf79c372aaf1d2d5d20cc1162b561426f8dac1926424

Observation c776560c-1c97-4188-9985-b69a879a133c · outbound

This paper cites Using Large Language Models to Generate JUnit Tests: An Empirical Study.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Using Large Language Models to Generate JUnit Tests: An Empirical Study

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.904748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.904748Z digest=sha256:f4b521231db5ca10681220555e8c222413c66dfef88ace9b074471d4a387dae9

Observation 3d62bcfa-5047-42e3-9fdb-5d939b69bddb · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.908881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.908881Z digest=sha256:569fd08557fd1dd34265328130e1a12bd13002e647fb2dee7b714bc7dcb5974c

Observation f04e66a8-d173-42ef-912d-8271fd0a7936 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.912655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.912655Z digest=sha256:749f11057a31f630f3523a1d8f07e42f3dbcad4582971ef36ba738036953b600

Observation d731636d-895c-43e5-b26c-f7ebe1b67207 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:49.773564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.916684Z digest=sha256:8ae48cc230df8e3c9d1af48c32f1fbce912f29c2bebf5df821de7bde857ec89c

Observation c56d6850-24f1-452b-981f-f1fc51bd82a9 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.920427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.920427Z digest=sha256:ae3599ae6d91c8d6e647bf7ecb026e2b95f7f353daf096bd297e603a77f8edb8

Observation 7d1e6a30-7419-455a-8fb5-19eb077edd3a · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.924127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.924127Z digest=sha256:735e3b4586b4c526de2ab098a5da9e086c17d633dae0b5c19e54ee76891d5b89

Observation e2024a73-6f09-4f11-ac34-f19d93cb6a31 · outbound

This paper cites The Program Testing Ability of Large Language Models for Code.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model The Program Testing Ability of Large Language Models for Code

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:07:49.137902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:07:48.927922Z digest=sha256:23a707ba11d1cf1907b582a977fc43c110c4ca6020d4a1c5888f8bf2a9b8370f

Observation 92e7a887-9372-4fa8-8e40-2449c0627ea3 · outbound

This paper cites Leveraging Large Language Models for Automated Proof Synthesis in Rust.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Leveraging Large Language Models for Automated Proof Synthesis in Rust

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.931800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.931800Z digest=sha256:8d23d2ed3de68cde0f8e68110230d1c8fab314e363b7cd8f1b6c061d802eb8ec

Observation 4501f35c-e69d-470c-a646-080cd0645d5c · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.935658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.935658Z digest=sha256:db59983365689790e20e8f717a26307cb036f4395c05b31e7bbf9f8a5f38a7b5

Observation a2d434e1-b001-4a30-87e5-cfb0eea0818a · outbound

This paper cites No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.939457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.939457Z digest=sha256:abcfcb0775da96a2b3acadf3e9120e539384d4cb6bff94a0116bca9e48ab4433

Observation 88afd5df-87fa-4162-b59a-6dab96aed078 · outbound

This paper cites an unresolved cited work.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.943382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.943382Z digest=sha256:6fb5fff84752eeddbf07d3baeb7db426ea157232b0067c7c7d299d1dccf6355c

Observation 121afebf-4144-40ef-b951-44afdb9e7859 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:48.892487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:48.892487Z digest=sha256:8f4c782d63e16780c015187e875d75fc180408330003d952fa0a21c9e1927f65

Pith citing papers

Observation a9036559-214e-42eb-a67b-dcb7e9565a2f · inbound

Large Language Models for Unit Testing: A Systematic Literature Review cites this paper.

Large Language Models for Unit Testing: A Systematic Literature Review DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-15T19:44:09.667087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:44:09.667087Z digest=sha256:9d0c31c38005224c11553e3315f8f96b693284bd93334f908d258aa9c07c5eca

Observation eb0478e7-befc-4ddf-8116-e9c4b62f79d2 · inbound

Benchmarking LLMs for Unit Test Generation from Real-World Functions cites this paper.

Benchmarking LLMs for Unit Test Generation from Real-World Functions DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:15:37.951397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:15:37.174272Z digest=sha256:b1d2bfb073e45a3594f5be80a05b365ef00987b7f9ad3bd0b984ce0032258b11