Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:18:01.703719Z
Paper Citation Record · LEDGER
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
As of 21 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2504.21117.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
- verified exact0
- verified fuzzy25
- unresolved39
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2bb115d6-0431-46a4-a25f-f792ebbf3da0 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:05.215413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 82761a7c-77a5-42eb-a2fd-c22164424669 · outbound
This paper cites InFindings of the Association for Computational Linguistics: NAACL 2025, pages 8397–8437, Albuquerque, New Mexico.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts InFindings of the Association for Computational Linguistics: NAACL 2025, pages 8397–8437, Albuquerque, New Mexico
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:05.433714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a486c837-5616-495d-b7ef-0e963e5c1760 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:05.093695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 12601f76-0f45-433a-a196-042b280e3f21 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:05.022675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cd0c3f0a-ebe5-4c26-9ffe-7bff1e0dde80 · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:04.984801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b6a64734-7616-4149-9947-fa50578d5024 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.365038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3c6f88ac-a90c-401e-9abd-a737868baf11 · outbound
This paper cites InProceedings of the 61st Annual Meeting of the Association for Computa- tional Linguistics (Volume 1: Long Papers).
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts InProceedings of the 61st Annual Meeting of the Association for Computa- tional Linguistics (Volume 1: Long Papers)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:05.297007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 399b4d10-704a-400c-b709-e04bd3ed8645 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.270859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6dc1c52c-b096-4b50-978f-e524e707810c · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:05.131767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a954e78a-e7e9-4d50-9f30-79085718daa0 · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:04.163815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 828bc2e8-7263-48c6-93e2-b4e61606b564 · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:04.817715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ab794f17-7926-422f-8479-42d2fab11dd8 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.729369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d2139d05-f043-4046-92b2-b898373e277c · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.686795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 25cadff2-91f6-402f-9978-b9f1351430ac · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:04.648378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6c019c81-a86c-4f9b-9091-6c51de345ca6 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.617874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 602ee8d7-8452-49e0-91cd-e58be587d57e · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.594637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7af94213-c87b-42e5-b1e7-9cd3fafa9e06 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.543996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 09eed79c-4ecf-4e5a-8ee4-9057c6f8d232 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.466128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bf5072e9-84a8-4036-8a75-f8198373a9d5 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.425476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a72c6b21-ae37-45b0-ba51-dfc87da22fe7 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.324669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 60b45217-dbb1-42ef-ad00-9931f24fe444 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.216814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2139d6bb-d261-4f96-ab53-e2f60a055a19 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:04.946610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6172cb0b-b85b-4424-a7e7-3f782d8ce564 · outbound
This paper cites Check if the summary contains any factual errors that are not supported by the article.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Check if the summary contains any factual errors that are not supported by the article
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:18:01.214864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66a31d16-0f76-41b3-ba9f-e63abed141e4 · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:04.125025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 59b44ce4-d403-466a-906c-412cb851ba02 · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:04.099020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5bbe876c-0f62-48a6-a3dd-ea3a141fa117 · outbound
This paper cites Ensure that the summary presents a clear and consistent narrative without contradictions or abrupt shifts.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Ensure that the summary presents a clear and consistent narrative without contradictions or abrupt shifts
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:04.073716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 39485b5b-aeee-476b-b010-c76550bf503d · outbound
This paper cites The sum- mary should maintain the same stance and perspective as the original text.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts The sum- mary should maintain the same stance and perspective as the original text
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:04.039088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 17c004db-293e-4809-b4a6-ee6c46ae0069 · outbound
This paper cites The summary should be grammatically cor- rect, well-structured, and easy to under- stand.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts The summary should be grammatically cor- rect, well-structured, and easy to under- stand
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.993597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b0ee244c-3f77-4258-a817-3b438d244c58 · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.918408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 03f2bb02-48f5-4b32-aca5-cd722c93a5d7 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:18:01.277292Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97a164e9-0568-4d81-a8f0-619ac36c026a · outbound
This paper cites Check if the summary covers the main topic and key points of the news article, and if it presents them in a clear and logical order.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Check if the summary covers the main topic and key points of the news article, and if it presents them in a clear and logical order
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:18:01.289737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2438390e-87c6-4a9e-8cfd-779ee7496a09 · outbound
This paper cites article": <article>,.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts article": <article>,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.810858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cffa22be-8f93-483a-afd1-a12f3e6f7f23 · outbound
This paper cites Responses should flow smoothly and be easily understood by humans.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Responses should flow smoothly and be easily understood by humans
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.778781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7553378a-3588-4aa7-9af9-d1f68ab8807e · outbound
This paper cites The response should logically follow from the previous exchanges and integrate the given information meaningfully.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts The response should logically follow from the previous exchanges and integrate the given information meaningfully
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.708237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 84f59f52-6763-43bc-ba86-e2b0aa787c07 · outbound
This paper cites The re- sponse should add value to the dialogue, provide relevant information, or provoke further discussion.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts The re- sponse should add value to the dialogue, provide relevant information, or provoke further discussion
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.686279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f2e7fc64-7854-42ed-880a-fce5c0fa2a4f · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.659707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1fb5a35e-1473-4967-a204-b7b7a910df0d · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:03.627665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cf4c7fe8-ac61-48d4-a438-a9c882fde7b1 · outbound
This paper cites Check if the conversa- tion covers the main topic and key points of the corresponding facts, and if it presents them in a clear and logical order.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Check if the conversa- tion covers the main topic and key points of the corresponding facts, and if it presents them in a clear and logical order
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.597536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1d6d4a58-eae3-4cf8-9939-f0bdf09dce86 · outbound
This paper cites ‘ { "conversation.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘ { "conversation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.567521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9fa4a635-ed28-47dd-b7c1-f0a41a7fcd4c · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:03.523541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2175ae1a-6c31-4f93-9180-99a0d24c030f · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:03.366364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d8ace9fb-7e59-4351-a60a-4c60740f67cd · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:03.314529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e9bb668e-d523-4016-96d5-cf8a27a93c84 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:03.264835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation baea36a6-c707-43d7-9f5b-8539f4207aef · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:03.195639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f47f6eb0-9f86-4439-a991-4dcbaa567d12 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:03.132944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8c6714ac-2cd1-406d-bed2-7ccde399b1fb · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:03.101682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d3dd43fd-cbf8-445f-b324-2352b205914e · outbound
This paper cites ‘json {.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ‘json {
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:03.045076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dc114f28-692e-4766-b19e-61147e89c1bc · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.941786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6598aef3-22d1-4197-9633-0bb62f31b3dd · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.887925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 165782a8-d3a4-4ec1-b45c-2487d81948f9 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.807905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d25c262d-d981-4d22-bae2-99097711b3b2 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.683285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation abdf0cd5-3911-4955-a7e0-5628da07db00 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.624165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ec237253-80b0-4eb2-9f2c-4ac33f042814 · outbound
This paper cites Original: {original} Reference: {reference} Translation: {translation} (c) Inverse Prompt Figure 8: Prompts for Qwen on WMT22-EN-DE dataset.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Original: {original} Reference: {reference} Translation: {translation} (c) Inverse Prompt Figure 8: Prompts for Qwen on WMT22-EN-DE dataset
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:02.560816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5f14ca59-1a0b-46a7-93e3-dd8514c45437 · outbound
This paper cites Every detail mentioned in the summary must be explicitly stated in the news article.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Every detail mentioned in the summary must be explicitly stated in the news article
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:02.495601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9f5fe649-99d6-4e84-9298-357da4b2e718 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.409141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2c130a62-0e7e-41f3-9172-edfd43e3c07e · outbound
This paper cites article: {article} summary: {summary} score: (a) 1 Decimal Place Please undertake the evaluation of factual consistency of the summaries to the article.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts article: {article} summary: {summary} score: (a) 1 Decimal Place Please undertake the evaluation of factual consistency of the summaries to the article
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:02.367065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eb6942a4-4014-462c-83c5-e129e400a05a · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.312899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 79f11cf4-2c91-4be8-bd15-086e43748fbc · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.243418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8cf1991e-69db-43b5-9f38-899d07458218 · outbound
This paper cites an unresolved cited work.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:18:02.176263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c154692a-6c3b-4e60-bbdb-d31e97f1acf5 · outbound
This paper cites consistency_score.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts consistency_score
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:02.142220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4f090757-58d8-4c35-b7af-82eeb3335232 · outbound
This paper cites InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
Reference 2020
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T05:18:01.833826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e57e8e51-6219-4e11-80c9-7349cd5d2486 · outbound
This paper cites InAdvances in Neural Infor- mation Processing Systems, volume 34, pages 27263–27277.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts InAdvances in Neural Infor- mation Processing Systems, volume 34, pages 27263–27277
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:18:05.352942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2ab340d0-833a-48fe-aad2-43da83a84753 · outbound
This paper cites AutoHint: Automatic Prompt Optimization with Hint Generation.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts AutoHint: Automatic Prompt Optimization with Hint Generation
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:18:00.828478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95cd6c8e-2fd6-4bd7-b7e4-26c0082c52ca · outbound
This paper cites Text Embeddings Reveal (Almost) As Much As Text.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Text Embeddings Reveal (Almost) As Much As Text
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:18:00.822226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 535f9e82-62c8-46f2-a463-415780120edd · outbound
This paper cites Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations.
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:18:00.794093Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.