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Paper Citation Record · LEDGER

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification

As of 15 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.00427.

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

pith.paper-citation-record.v1
2607.00427 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T09:12:59.039529Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

60 of 60 outbound references displayed

  • verified exact31
  • verified fuzzy4
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e45c0f4-970c-4f51-9f24-347cfe1f5613 · outbound

This paper cites Systems and software engineering – life cy- cle processes – requirements engineering.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Systems and software engineering – life cy- cle processes – requirements engineering

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.437545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:6da5c0acc18083f4e9ecdde0feec7b71629c4de44e80bfbd7ce3b5592dfb109b

Observation 4fcafaa2-f50a-4157-bf15-80ae760aaf54 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.052765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:c0a314edbcf1a94b53f3f95d694836525eadd2260e34fbb19b8b273207371f95

Observation 42b33293-df1c-4bda-af6b-ab4f8a6e3695 · outbound

This paper cites GPT-4 Technical Report.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification GPT-4 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-02T09:16:48.669320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:835e9764fc7033fba17818cfbfffbf3591bafef282c641357599e704d0dc45f0

Observation 9f580e99-1b21-42f2-96a0-e5999affd27a · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.034525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:fda8ac745a57bef70a2052d9fd653663fe437097bc31ebfdaf3f89d647dc0d78

Observation 95026d9c-de0f-49bb-9a7c-f0d1cd2a99d7 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 5

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.415380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:defa915d6a0ae4620a121c09e323d820ed864f9b3d3fcdc349a0189878f3b239

Observation 1cf7fe66-1920-4e92-b176-1ad69b68fdb9 · outbound

This paper cites 2024.Advancing Requirements Engineering Through Generative AI: Assessing the Role of LLMs.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification 2024.Advancing Requirements Engineering Through Generative AI: Assessing the Role of LLMs

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T04:11:56.051258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:eafbfb7556fef6138ba87bd94c69f2de6a77c9ca0f51e5c42866471bbc581bc8

Observation 84e69cdc-1186-42ff-9903-455b4d78dd0d · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.055761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:f5c4ad5c859823fb402397ed154618b0a0f7b943a03aefb8310e9c48ff7ebf8f

Observation df588318-b710-4651-a594-02723197632f · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 8

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.439076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:d9c41a09615427056de7068ec6ba00e8d4900b366618a159dc93bdc7394a3884

Observation 6debde2b-624c-4f73-b698-ad71893b1ebe · outbound

This paper cites Fairley (Eds.).

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Fairley (Eds.)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T04:11:56.017481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:7de3a47835efa264cb80e062ecf0360a0110a27c7470235360ca23e929710a2c

Observation e4e8b0ac-8738-49f5-886a-2436c7507183 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.674204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:08a636a160c717f09f6e81360114ffc0d425489df6621c7e662c1cd098a249c9

Observation 27812f46-1b8e-4061-9540-336a641d835b · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 11

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.421812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:fa3aeab03cc1407e38a269ef7316f9df25e6152332aa76cb25d2a8bc20b4299c

Observation 04f5ea03-2c0f-4172-bfe4-f8d2ee6af6ae · outbound

This paper cites Data set (2007).https://doi.org/10.5281/zenodo.268542 Mapping Public Datasets for LLM-based RE Tasks 9.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Data set (2007).https://doi.org/10.5281/zenodo.268542 Mapping Public Datasets for LLM-based RE Tasks 9

Reference 12

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.439750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:f4c9b0f8afff7037ee54ade26d86f36d879ca43c7ce95b8e9c9783a40e0978d7

Observation b37c5c35-2ced-4a0a-90e5-d525ec6a243e · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.020790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:77885cdb8226149bfaa305c0b2a8106c78c4087fc9a1d95a4a85e9b4bbbe4357

Observation 21aee346-37b5-4a2f-a342-365c909c1262 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.019073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:46ee5eda7a4725032843effa0e8223346c422b384f6583ec1c0d9ebd63e09d95

Observation 4010d486-0afb-42bd-ae8e-9fadbde919f7 · outbound

This paper cites De Martino, M.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification De Martino, M

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.661798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:1eb0da44bdc706a68adce69e1166141e63e9e08624584d3b169cb929843a3792

Observation ed3d8a19-c7c0-4afb-bc00-95f53d7f5ee3 · outbound

This paper cites Ernst and John Mylopoulos.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Ernst and John Mylopoulos

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T04:11:56.044206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:b30a81cf5490975f4f9f990c65b506267fb118c9a038ada494a7fd1ec7230148

Observation 0570d87f-49bc-4b09-8402-b8156bef8c62 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.013064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:6eeda1dc7c955cfc354ad5bab7df403016eca04a310d614df3fd4b86ea28fdf4

Observation b383e2b3-6bda-4f3f-8bfd-3b182858ff76 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.011033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:e1c3994c8e5298ff49f1faeafbd7f14d95cde87d4980ad11bfcb59a5e57aff6a

Observation e1d9d985-d50e-48f1-b628-12b22a7807ea · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 19

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.433015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:ac1f57bee90b68a27387da4826b47bb13aa724e7b0a2431425b9aa2c1feaeb6a

Observation 2bf5dc27-cecc-46cd-ad38-5a2c8d862cc9 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 20

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.421243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:6cff8b6f7acc9f788043aa4294fc9ed671701370b682abe711321b523d47a5df

Observation f232bd39-802c-4f2e-91c1-218889e88ac9 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.008290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:3bf06c5f4f9303f6e877705830c40f08a03a67d2a045a2b5b512ae7439876bc2

Observation 60b6987f-782b-43d5-b2c4-e21715deffe8 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.015849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:d8af036f8a8815f08f2d4a2cbdc87fe61d3e6740148315b9e5b563759af4dbe4

Observation f7014d8e-d04c-43a4-999c-9c72e8583fa3 · outbound

This paper cites Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.666972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:69758ad8f7424139fb63d394ffac1de903ab1ce90a628049708880512cb5834e

Observation 4b8b2577-3a29-441d-838c-3d6776c39c86 · outbound

This paper cites Autonomous Prompt Engineering in Large Language Models.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Autonomous Prompt Engineering in Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.640469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:42908d8e55a8abd95b6eff925687b3e25b452c02817ef4eb1ed29cb3c311dbdc

Observation 24208461-763e-49f7-ba3d-9e893be038d1 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.045973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:54c2a6b2f8170f26519e1e24d6ad625588c63424646690392bbb13bc099ee424

Observation 024aa8e1-7fca-4571-93de-17e001942a49 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.041075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:315aaf6fce5cec3cb2359edc2f8c8a60ef3145fbe9f332c6a0ae3eb695db7348

Observation 4cf6c65d-50df-4aa4-a4ae-e021f31a0b21 · outbound

This paper cites librosa/librosa: 0.6.3.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification librosa/librosa: 0.6.3

Reference 27

Resolution
malformed identifier
doi_truncated, observed 2026-07-02T09:16:48.423024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:519533b3e719e89b29755df92ee2f52a2d8646bbf19e5250ce1d4ae88cdb1c2f

Observation a17a0658-65c8-4cff-aae0-f1f181978483 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.039518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:eb90dd6dc5588a3fe248724610293e5182ce4c9bc502dd6604e9fe18eb08dfdc

Observation c3d6592d-f8db-4b6a-8b19-021d15cdc967 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.042619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:204144a5bdb9dcaca82eb4b38a5d2cf188cc785531b50d681647aeb11703e8c9

Observation 96887f62-4414-4df9-a01a-5afd00cf2b21 · outbound

This paper cites StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.656948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:c57dd27a78cfa4a6239e65dcd8fcb0f7be61dae6609dc6519d8783ce05fb4354

Observation d426e00e-a479-4c58-97cb-194f197ee969 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.047848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:f9ccac1155f8852dc4ada9bdb1d7feda9713be318d1b0f0b3837d14b6dd73e4d

Observation 8ff46c59-af71-4a0f-a90c-1c167339efd2 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 32

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.441760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:39ebd835cc884b8a777e342007b45ee9e0c71571962083d7189e816ef4891db9

Observation 1867a443-5562-4932-82c2-8b6fef65a461 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.673836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:7a3c50c13a145a79d2ccfb13e848347c0b388da5ad2d33de45830910d99968fc

Observation 6d4991da-ff6d-40b1-ac9c-cc475858541e · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 34

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.443628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:75346106bf09e6a7ee5dd5f216fc96606280c4c2ade17d06c30adf372c7c299d

Observation bdf1ccc6-a2c6-4ec6-9892-96737f73c76d · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 35

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.431469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:c1b10adf888daaf921c368f87ab6e5f816276db588bca519a8b79858979759d9

Observation 29b2f60d-4359-43e9-84ac-03ebc0be2be8 · outbound

This paper cites Training language models to follow instructions with human feedback.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Training language models to follow instructions with human feedback

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-02T09:16:48.659320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:dc8bd0616303b5e43143562b2a54828de3c667eeab428e4499805504c5c44b87

Observation b3a1431f-aef1-41ad-baa7-09021cfc48b9 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.049529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:560dd259e03ab50be0239d1198efe42290108eb694beb4012148ed73a382d7da

Observation d5053b56-5111-497f-9087-da29e24ac562 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.036168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:4d8e0a70a3d65787aca89bd30422fc7f04e08d8a9c1e6dcebfd166112742454a

Observation d26e4894-fb73-4ea1-afc8-99341156c044 · outbound

This paper cites Automatic Prompt Optimization with "Gradient Descent" and Beam Search.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.666443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:8b315879930d73dd7362321e1dab59f1a9e864ae3856aa9a8575a2dbabe39d9d

Observation e4954bfb-cebe-48a6-ad9b-9952af9267d2 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.432042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:9f0227ad896877a06ed6b04d82b13935e9454fa8009e71745c3487eab51d214a

Observation 4fb07300-01ca-41c9-bf86-ea1a8fd43e81 · outbound

This paper cites In2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification In2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T09:16:48.447354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:e9ad432e707aad891da81dd5b43a1fe771a9b70330f87490ac468bc36a80e2b2

Observation 9490d338-662b-40d1-a66a-a25de0ff3e0d · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.029596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:1387fa1b51e8ba25869874950049d937d92260332f6f55f9bf82a5993760ad8e

Observation 3f8c7b69-d219-4366-91be-ed2cd097cc37 · outbound

This paper cites Breaux, Thomas B.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Breaux, Thomas B

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T04:11:56.031246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:3280423ebe4f115b9ae9c73707f2bfc7e42f92d2306d4c2574dd9cf4ef58519a

Observation 0065d4d0-8368-4568-b763-6ce0d4606f16 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.441642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:92a0ce7963a58f5ed04e3c1425645b59a898b0f7d81e0f21fd0d65985e7fd734

Observation 5cbb0092-6a07-43b0-bfa7-133ffe68d991 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.032939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:b32619c4b6430731c9406906bb2be7781f4b87faf8b6fc58a0be940454b66fdf

Observation 07af5d15-e8b9-475e-b90f-74ff404d74a4 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 46

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.425936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:6476f249babefc64aea9b522935850064e2081fdfc4d9522ff3dc70fd0a4746e

Observation 4537d742-e4b7-4fb2-a784-630b65189e4d · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.037730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:a4e9c7afda7d58988314f8804287610feaad7bec8488d392867ecd52c589ae12

Observation 3cad2439-1cd0-49d6-93c0-6099ce172499 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.054250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:ca3b2930b73baed27e7df6ca2322fd91fc5916e74d7155eb00c8699dfdd8b865

Observation 1c29eb8f-08b4-4150-8a2e-dfb0bd868a98 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.024470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:a4532d25a877767d48cfac484e879b82a79fc5f1fa59bdc6e52256e03668f634

Observation b53cc920-7bac-4c28-8007-e87476513775 · outbound

This paper cites Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.638065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:297be57b182ab95f9b7c2e6f657e91d358dec125a88cfe31930bfe17a4f64b62

Observation a84c92ac-245e-47b8-b837-3d6346d65aad · outbound

This paper cites One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.651398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:db60486ac8def4f9b8c15a8f1ec4dee2036e0fc95acfc3791176bffc32ba193a

Observation 4533c143-8d8b-4277-827e-4e5b1181c0f4 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-07-02T09:16:48.651838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:13bb17979ebb83c8c96ed5fdfcfb69abd3a2faef1cbfec5c544eee4505f93ef0

Observation e8eab3b0-1e9c-471a-948f-c91874214ba7 · outbound

This paper cites Prompt Engineering a Prompt Engineer.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Prompt Engineering a Prompt Engineer

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.653833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:bf9a8f08093fbc1bcaebd0e04a65b0d4d25fc2327820ce6e28e36cf120cc69e2

Observation 8add9209-514c-422a-a8e4-7192c41c3337 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 54

Resolution
verified exact
doi, observed 2026-07-02T09:16:48.449825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:92cec83e501bf1791c7a22af324b11c00cf714d9b3c2c469bec25bb9c959f3b0

Observation 417fad48-28e9-4961-bf56-709bfba742a4 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.022665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:beb70569ed723da161f9f2b13702524355e3fed2ba1c873a2f6cb0c05c900488

Observation 5adc0705-3dae-4ec7-b3dc-e1c3dec19c47 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.671438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:b1053321be6c1e8783629f2ee66a1670822a0ec1f6879d0fce186e6fb79542ef

Observation f63407e2-54db-4a20-8c05-4688c86f312c · outbound

This paper cites A., D˛ abrowski, J., Alhoshan, W., Zhao, L., and Ferrari, A.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification A., D˛ abrowski, J., Alhoshan, W., Zhao, L., and Ferrari, A

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.661435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:6c3541f3253df92f89850a5e9d9e090bc2b1f2d0c8dc03175febefefdca68e4d

Observation 2ef83f85-0a85-49dd-a04b-2539e45f7738 · outbound

This paper cites an unresolved cited work.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-07-06T04:11:56.026116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:e687f53f63b1623af18a2095e169b8f6adaf6fb8c37277b61d7e22fd11e82442

Observation 4e64ed7f-80c5-4042-a983-a4254c556203 · outbound

This paper cites LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.646088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:f2dc6bf288c7cc1ccc6c0d9f1dd18a8789f2c54c3032110ae9749fcfda15d2a1

Observation aa10b118-bf39-472a-adc7-06cae2897ddf · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Large Language Models Are Human-Level Prompt Engineers

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-02T09:16:48.644028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T09:12:59.039529Z digest=sha256:ed3934866fb8651636c5a8fbaa32f19bde8d2d7d9cb649af5d3819f55eb5f894

Pith citing papers

No inbound Pith citation observations are available.