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Paper Citation Record · LEDGER

Reverse Preference Optimization for Complex Instruction Following

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.22172.

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

pith.paper-citation-record.v1
2505.22172 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:18:57.734597Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9513806a-6e7a-40e2-b601-d8526ece903b · outbound

This paper cites at least three profession-related keywords must appear.

Reverse Preference Optimization for Complex Instruction Following at least three profession-related keywords must appear

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:05.580600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:53.917495Z digest=sha256:b93e179a67db0fb5a093cdea8ea01174396fc1fd144b975679480ee6b4b14da9

Observation 1af06f0b-4997-450a-b8f0-0c575bed1b26 · outbound

This paper cites forbidden to mention Van Gogh.

Reverse Preference Optimization for Complex Instruction Following forbidden to mention Van Gogh

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:05.434577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:54.009589Z digest=sha256:f914ff05633cf43875eae156aaab0bbf92e5672a053a8fba1d4232725285150c

Observation 117c52f6-c68a-44c9-9a58-91b76d70a01b · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Reverse Preference Optimization for Complex Instruction Following Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T13:18:53.711122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:18:53.711122Z digest=sha256:c6885ad3b231daf656d857fd1633fadf540cd05fe8c655fa1b8ebf1867d541de

Observation 337f4419-0198-4ef6-96cb-98c581c6ecd9 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Reverse Preference Optimization for Complex Instruction Following Instruction-Following Evaluation for Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:18:53.809468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:18:53.809468Z digest=sha256:e79c5328950d373cfa406e900eb4e789d370b74019c22c64a1afebb729e3aaa0

Observation add0ac66-20fa-41b1-a76b-06c3984ea237 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:04.372062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:54.564481Z digest=sha256:e436be81b51a70138008ddfd956a2f6824ebc7ef965e2f506ab0ac3f94aca5e1

Observation 4cb95338-e2bf-4b4b-b214-802c8977d3e1 · outbound

This paper cites I don’t know,.

Reverse Preference Optimization for Complex Instruction Following I don’t know,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:04.142097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:54.758702Z digest=sha256:a773f258efcdd5fe687de1121184454bd2f83ebebe1155d0cb7c8e40d9b38fac

Observation df08c77c-fa3f-4d02-a4a6-9a8f679f3b7a · outbound

This paper cites Hello," a catchphrase, a specific line of poetry, self-introduction. - ‘Ending content‘ (used in a minority of cases, less than 15%): For example, ending with.

Reverse Preference Optimization for Complex Instruction Following Hello," a catchphrase, a specific line of poetry, self-introduction. - ‘Ending content‘ (used in a minority of cases, less than 15%): For example, ending with

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:05.238601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:54.100474Z digest=sha256:7873ba16350749b3c2283b44b1aab9bf76818ccfca7e57350bc45b90529ef54e

Observation b68d5360-1b4b-4b24-8b61-a8538084a86b · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:05.023349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:54.183020Z digest=sha256:28a69d768d70b7e8c97273a2c3a71fc241778a9a84c1e70c90cb5bad5f98745b

Observation cd7888d4-f242-4e5d-84a1-529a899dadf2 · outbound

This paper cites (The constraints added here must not conflict with any possible character setting in the given character reference information, so please add such constraints cautiously).

Reverse Preference Optimization for Complex Instruction Following (The constraints added here must not conflict with any possible character setting in the given character reference information, so please add such constraints cautiously)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:04.774377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:54.291314Z digest=sha256:72189ac6c8f79aa1f475549fe0a4827ff0f39330b5c3c183f21f0daf5ce8253d

Observation 620f12d2-aed3-4710-b3c0-034c5eec6483 · outbound

This paper cites we," or.

Reverse Preference Optimization for Complex Instruction Following we," or

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:04.581471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:54.432933Z digest=sha256:32f4723856f1589e0ecbcf9c7ead78e4fdca558fb0f24e6c52b644e4a079df74

Observation 464eee10-0c88-4b70-ad5a-c1a70ef5e131 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:03.938583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:54.930829Z digest=sha256:7799e1572616b210aeeea46f17ff030ad203cfc6dbd2ba02a4e089171d27fa9b

Observation f4144ed3-ea54-42ac-972b-e10b5491bba1 · outbound

This paper cites Generate a vivid and three-dimensional description of the character based on the given reference information, with no less than 100 characters.

Reverse Preference Optimization for Complex Instruction Following Generate a vivid and three-dimensional description of the character based on the given reference information, with no less than 100 characters

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:03.751594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.045780Z digest=sha256:6bdcb212ddc04389f39e7a3e95b0761ed8062b895c7cb3d20f0e2b9cadb34617

Observation f84ddfce-6ab1-467d-8c5d-0d92b7ebe615 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:03.593665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.127155Z digest=sha256:22023cabb123767476ddcd89f028b9302417f728730ffc3be6cfc440b073e547

Observation 32ed0cff-e79f-459e-84b7-f184c7b41787 · outbound

This paper cites Generate 6 to 12 non-repetitive, non-conflicting, and distinctive constraints as needed.

Reverse Preference Optimization for Complex Instruction Following Generate 6 to 12 non-repetitive, non-conflicting, and distinctive constraints as needed

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:03.401122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.188687Z digest=sha256:0ec06ac5c326d61a7331a8d0ad57ec000a5804a271a48abeb28958a3e41f0ecf

Observation 8696cd7c-3e63-4415-a091-97954c6137ca · outbound

This paper cites Generate more constraints that can be objectively verified, even constraints that can be directly checked using Python code.

Reverse Preference Optimization for Complex Instruction Following Generate more constraints that can be objectively verified, even constraints that can be directly checked using Python code

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:03.133605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.289109Z digest=sha256:6b79fc167bc409feaa558456f53b2a2d9ebc3ca05a62c621178248a56fab3346

Observation eff49090-2f1d-4cb5-b2e6-6d5a5bcce715 · outbound

This paper cites The provided system is just a reference and not complete.

Reverse Preference Optimization for Complex Instruction Following The provided system is just a reference and not complete

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:02.912190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.413384Z digest=sha256:3da26d93f85f4745c7b63040442fc3669e0bc8f93551d4b8082b6055d119011e

Observation 2d520d36-e32c-4313-aaed-347af08f1d05 · outbound

This paper cites It is not necessary to generate constraints one by one according to the ontology.

Reverse Preference Optimization for Complex Instruction Following It is not necessary to generate constraints one by one according to the ontology

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:02.679546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.542316Z digest=sha256:8cbc208ad59aedf28e65b215aecbf9e7270964cdf5fda603de9ad7e2456b56dc

Observation 215cd836-02e2-41ca-b3b5-c6e40d627d87 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:02.511109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.621224Z digest=sha256:4f5560d933d72af2a9752cfd943b01c5e03e64b06e40f77fc0adbd7fbf726a10

Observation ce6e6658-cf38-4d1d-8f80-029b8141be02 · outbound

This paper cites if the user is silent for more than 30 seconds,.

Reverse Preference Optimization for Complex Instruction Following if the user is silent for more than 30 seconds,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:02.318524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.710231Z digest=sha256:779f1a665cadde71f1796feb9bb930fdd8579441ec89b72953de243b9adb9053

Observation 2b26ac55-384c-4128-9377-19a127caf511 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:02.073448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.764362Z digest=sha256:b38a9deb63a00ac250353b8d94cfacee0f55038f25bf8965c14e9eeebea586fc

Observation 2a32f733-bb72-4434-aec4-5e80aacf2b68 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:01.839511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:55.954064Z digest=sha256:996f2a060ebaed0eb144e05acd7e8111daafbfea1b676c133be63ec8e1c2acbb

Observation 5e52ba47-932f-480c-8c0c-0c04e3203000 · outbound

This paper cites For each question raised by the user, include a specific case or story in the response for added persuasive effect.

Reverse Preference Optimization for Complex Instruction Following For each question raised by the user, include a specific case or story in the response for added persuasive effect

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:01.669869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.033427Z digest=sha256:3a9100a1ce22ec6d9ab4bb35d36522bf7e97740e342cd8e12a8beb130a368ce8

Observation 189d7af8-95f7-4d46-9554-9d19980ae796 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:01.467541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.098951Z digest=sha256:a2e2c2e7a23a8153735fcb8facf7dbedd3fe134152c06f86917425c09500d4ca

Observation 96fb76d0-9e89-4899-9636-bbcefe24753d · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:01.274003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.174923Z digest=sha256:5f6ba17fe0df4b658212c5c66789c72826ec96fa0265e626b7885e7c4495ed5f

Observation e04f1af6-45df-4aee-b4e6-02ab924f32b1 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:01.108472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.303739Z digest=sha256:01cac5ec6209018e5cd9b03e2066a1af79de2b0d56c13e415da97a6d3a4a86f3

Observation c6b9bb73-7344-4fac-9b83-af0dcc6b12b5 · outbound

This paper cites When users mention sustainable development, you must mention at least one relevant success case.

Reverse Preference Optimization for Complex Instruction Following When users mention sustainable development, you must mention at least one relevant success case

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:00.941615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.398122Z digest=sha256:3c7583d6fd36d89c29816085036aefdc0921dea78df926394d1ed315276d4a0c

Observation 060972e1-3833-4ece-b9f2-0262104ead90 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:19:00.755702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.490356Z digest=sha256:92e1b8e6572270cc060fdd9cb57f2276b6454ef559282c4e55b4342820a050eb

Observation a07116fb-e78e-4e5a-b6db-612ee389739b · outbound

This paper cites Please design the user’s query (query) for the next round of dialogue based on the provided information.

Reverse Preference Optimization for Complex Instruction Following Please design the user’s query (query) for the next round of dialogue based on the provided information

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:00.527876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.587711Z digest=sha256:aa49036bfca4990d9f3b96a433d44bb6817fbe904a3e0b2d6b61e7e3e8d87c77

Observation e136d146-68bf-44aa-90f0-9763bb51cd1d · outbound

This paper cites Use more colloquial expressions, fewer overly formal expressions.

Reverse Preference Optimization for Complex Instruction Following Use more colloquial expressions, fewer overly formal expressions

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:00.380387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.652077Z digest=sha256:e60a20a1b9fe51cb222dc0be68417054335e4bceb1710185f4dca32a265792af

Observation 7a9e8ec0-c4bc-465f-aab6-8ce2330d44b2 · outbound

This paper cites Hey", "I’m thinking.

Reverse Preference Optimization for Complex Instruction Following Hey", "I’m thinking

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:19:00.162687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.764420Z digest=sha256:50ec241b740e8880fde77a90b056f3ddb218a79ccc9caa74240c761dd04f125a

Observation 96329fdb-ab8a-40b7-89e9-3da101aee0d8 · outbound

This paper cites You can choose any tone to generate queries, including but not limited to: characteristic, etc., or combinations of these tones (but tones cannot conflict with each other).

Reverse Preference Optimization for Complex Instruction Following You can choose any tone to generate queries, including but not limited to: characteristic, etc., or combinations of these tones (but tones cannot conflict with each other)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:18:59.969899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.897272Z digest=sha256:58c141b338ab961f0cab8836434f197a0ec532ba8eb3142dd01364628a426bba

Observation 2c1bf120-3695-4667-aa78-8c5a3b03d28d · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:18:59.703697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:56.962253Z digest=sha256:ff3f5990fdb2b376474405bc5df259cfeaf66f8569a27daa58603f48e9c8dae8

Observation 1752ca5d-e9f6-4e40-8ff2-660975f856a3 · outbound

This paper cites You cannot directly copy their name exactly to address them, as that’s too mechanical and unlike normal human expression.

Reverse Preference Optimization for Complex Instruction Following You cannot directly copy their name exactly to address them, as that’s too mechanical and unlike normal human expression

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:18:59.417751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:57.081497Z digest=sha256:10932fe5c7c38269954f8646da383ed168390f105b661ceae1381a66af188e35

Observation 22b8b2bc-8b97-452f-b852-e2320c7a81cc · outbound

This paper cites ### In terms of query content: 1.

Reverse Preference Optimization for Complex Instruction Following ### In terms of query content: 1

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:18:59.148907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:57.218120Z digest=sha256:e55d2edabf991f99110f56c2a389eef88812007383774be09d741907eedf2114

Observation 5515b4fa-1697-4c78-9ff5-8c6d24322683 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:18:58.817992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:57.336865Z digest=sha256:9cf3785eeb5b74dbdf8a37e56a90f5435dcd6b4cfcf8ce1a348746d420b581ad

Observation ac15094a-3069-4102-994f-0be8aba9eb7c · outbound

This paper cites Since you just mentioned xx is interesting.

Reverse Preference Optimization for Complex Instruction Following Since you just mentioned xx is interesting

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:18:58.531235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:57.481698Z digest=sha256:6b4f572f3db24afdb1e98ecc95668f5a57c54ef6488d95ed5c7d36b09e8ee24e

Observation 87baa248-cc71-4392-b408-954bb91bb866 · outbound

This paper cites an unresolved cited work.

Reverse Preference Optimization for Complex Instruction Following Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:18:58.291142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:57.594852Z digest=sha256:17ba6a01241193ad80dd0b1a925214c6e86c31e166044ff771445ddbbcf79a5a

Observation a70b06db-1cc5-4f23-b08b-6a864f08501d · outbound

This paper cites When describing AI application scenarios, at least one metaphor must be used,.

Reverse Preference Optimization for Complex Instruction Following When describing AI application scenarios, at least one metaphor must be used,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:18:58.037195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:18:57.734597Z digest=sha256:86e9575c0f578ef0c837879716229203dcd215b88ab04109914f0ba9c5abc633

Observation 1c5e7746-b9f1-4ff3-a8cb-32c7370877db · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Reverse Preference Optimization for Complex Instruction Following Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T13:18:53.503242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:18:53.503242Z digest=sha256:eb7e4789370ace86e801b42a41f9907f5da629cb25632f075caf72eb346bdb08

Observation 81a55b51-9bf6-4e65-b312-ba29c098f6e3 · outbound

This paper cites Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.

Reverse Preference Optimization for Complex Instruction Following Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T13:18:53.599656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:18:53.599656Z digest=sha256:50237a23275bc8e101a020ad6e90f84a28b7dbfd8d1f49c1eb95bfa5adbf98be

Pith citing papers

No inbound Pith citation observations are available.