Pith. sign in

Paper Citation Record · LEDGER

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.18800.

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

pith.paper-citation-record.v1
2412.18800 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:31:54.757351Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8799c4b4-f71e-482d-8d3e-1e61f496bb0d · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.621538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.621538Z digest=sha256:ad968493be0666c48dc4f03215793a1b808ebba400bb59844a2337a4facf6299

Observation cbb7ceae-0c7b-4fb9-bcd6-603d2170ba7c · outbound

This paper cites Dense passage retrieval for open-domain question answering,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Dense passage retrieval for open-domain question answering,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.321490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.626221Z digest=sha256:0f71322583d099d9f01b971b53e5e4f12860e88c244489d46a95256f923578c9

Observation a37ec885-e7fa-4002-9b46-349e47fc0908 · outbound

This paper cites Leveraging passage retrieval with generative models for open domain question answering,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Leveraging passage retrieval with generative models for open domain question answering,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.307723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.630566Z digest=sha256:0d01d9b146d4ed3231b7e9264e94ac267ecf225a0eb8e9322852f1452f9eb085

Observation 7bada9ef-e55e-4386-9748-3b7cf923a737 · outbound

This paper cites Generate rather than retrieve: Large language models are strong context generators,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Generate rather than retrieve: Large language models are strong context generators,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.293966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.635344Z digest=sha256:732d182516caca0677e26ac176f0163ada19ba3ab85efc105578f0112a4629a3

Observation bcea8cf2-2a38-4371-9d37-a4a8cd67f4e4 · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.639881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.639881Z digest=sha256:3e541d0ebed2c1d18aafb4504ee9c6c2bfa0561e20d8e35aca871c31f644758e

Observation f37411c5-d354-4167-b95a-3166692f786e · outbound

This paper cites Language mod- els are few-shot learners,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Language mod- els are few-shot learners,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.644403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.644403Z digest=sha256:4f48a9e6cb07f6ed9b797760e3ab17f4b9096f5102d5734bcd01fa9b4700a334

Observation 379e658a-8aff-4ec5-8a07-8fea4d0dd819 · outbound

This paper cites Palm: Scal- ing language modeling with pathways,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Palm: Scal- ing language modeling with pathways,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.273087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.648866Z digest=sha256:4ba8b65efba316684216f58544d61dfac7a5f5ecefd6b8d8e2e96bf758c6bcfc

Observation 64154e77-820b-4134-8fa7-4ea8ea20baff · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation LLaMA: Open and Efficient Foundation Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.652712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.652712Z digest=sha256:d91a9d4f39e0cb6b8fd5f14acfa9dcc586495a805132fe44e9e9180bc2ab8ce2

Observation e877f084-1ead-4583-b131-1c4000da204b · outbound

This paper cites End- to-end training of multi-document reader and retriever for open-domain question answering,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation End- to-end training of multi-document reader and retriever for open-domain question answering,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.259731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.656694Z digest=sha256:9f3230886c0cc29652dca147b3a24646ff24de88bcd4ec8468b5370d1cf15659

Observation d151ffa8-6835-4dde-b5ea-4e7e51c12d61 · outbound

This paper cites Retrieve anything to augment large language models,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Retrieve anything to augment large language models,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.660438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.660438Z digest=sha256:948f512d3e5291e12d53371982dda26517cff2af72903b8e2a1a1b8ffdd79b54

Observation bb303cdf-e954-4165-a978-9ce9368b9df5 · outbound

This paper cites Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.664367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.664367Z digest=sha256:03575759fd403c94b122916d80b5b7573b1c1e9c4bbf2830e0ae972d2805daf6

Observation 5ae9b9d7-4445-4b88-befd-9bbad65f18b7 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.668566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.668566Z digest=sha256:06b7fa66854f83f142fe194cb5586145d1fd9244d335606f464a4656765ee191

Observation 060daab5-971a-4ce5-af6a-1de653f88114 · outbound

This paper cites Merging generated and retrieved knowledge for open-domain qa,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Merging generated and retrieved knowledge for open-domain qa,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.246511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.672945Z digest=sha256:66751ff0537e5928f959779e35f955f595f145491c2485ce444e1fb1ebc15074

Observation 47423374-1014-436c-b103-c354ad68077e · outbound

This paper cites Generator-Retriever-Generator Approach for Open-Domain Question Answering.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Generator-Retriever-Generator Approach for Open-Domain Question Answering

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.676669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.676669Z digest=sha256:b88764be2ea1f04a8f56368fa619b0928326b2a1a5b1356983843d5d3e0c5965

Observation c065314c-07cc-4eee-bb88-3f70d5f09695 · outbound

This paper cites Evidentiality-guided gener- ation for knowledge-intensive nlp tasks,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Evidentiality-guided gener- ation for knowledge-intensive nlp tasks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.231066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.681116Z digest=sha256:d84cd2ac523ad29fc37b637347e7a5219e104f6ec826fdb56ee4e4bdfb1134a3

Observation 894beaa9-22e6-4063-80ce-22466b2b8fd1 · outbound

This paper cites From relevance to utility: Evidence retrieval with feedback for fact verification,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation From relevance to utility: Evidence retrieval with feedback for fact verification,

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-11T04:31:54.904318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.685080Z digest=sha256:c0abeab9a088a7bd4ed0cc489335b3b14126156e40c11c57ee6897dc66810126

Observation e737cd99-5f5f-4f4f-9020-a8808d57290a · outbound

This paper cites A language modeling approach to information retrieval,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation A language modeling approach to information retrieval,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.216507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.689130Z digest=sha256:0cbfb187c7156efbaad7dafbfd21d3e725475b3696923818ea82977356d46076

Observation 42486b65-1b02-4997-9c84-1c99e353f082 · outbound

This paper cites Improving passage retrieval with zero-shot question generation,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Improving passage retrieval with zero-shot question generation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.202176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.694768Z digest=sha256:411c31983d7f8bae729a7a32168836ddd4111753618c71686cee39af51bb7cd2

Observation 25a9de22-4988-4c64-a187-204b9233ddb6 · outbound

This paper cites Open-source large language models are strong zero-shot query likelihood models for document ranking,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Open-source large language models are strong zero-shot query likelihood models for document ranking,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.189146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.698950Z digest=sha256:eb0022fca312fee83b797cbd1e2f1da09999d974b9bdb7a85ee6cf8b0928ec9f

Observation 66da8928-0e71-42bd-9591-2cd410700ca4 · outbound

This paper cites Beyond [CLS] through Ranking by Generation.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Beyond [CLS] through Ranking by Generation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-11T04:31:54.814749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.704011Z digest=sha256:f0701059b0074c545fc83703b68b78a662bd95199ed3664b37e1f2b997a25bce

Observation be0d72b5-544f-434b-b09a-5ab5eea103e0 · outbound

This paper cites Blinded by generated contexts: How language models merge generated and retrieved contexts when knowledge conflicts?.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Blinded by generated contexts: How language models merge generated and retrieved contexts when knowledge conflicts?

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.173744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.708552Z digest=sha256:d4990e6295cf90b412365f0a57f52cbee97a61e0d3efe5d049b3aec9952d4be0

Observation 09455fab-77d0-481d-9250-6f363ddbf6bd · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.712936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.712936Z digest=sha256:bdb35ebef866b8c280372d56f3f91f12aa73a57ff4b746678d15e9d30400b33c

Observation 393af43a-84ea-42e9-ace1-02eec80464ca · outbound

This paper cites Joint entity and relation extraction with set prediction networks,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Joint entity and relation extraction with set prediction networks,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.160732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.717814Z digest=sha256:a79ac2eec0071c1cea2335dd80a476b8f075929125ad764c94245263530f9251

Observation 557e0be7-e8fd-4de1-855c-0c438f463bf1 · outbound

This paper cites Label dependencies-aware set prediction networks for multi-label text classification,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Label dependencies-aware set prediction networks for multi-label text classification,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.147344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.722115Z digest=sha256:a92554e38e04460a12b90b7a35344f55a659636c905c35c74976d7d48d23cfe5

Observation e5bc6950-3d93-47a7-8eca-746840686b4f · outbound

This paper cites The hungarian method for the assignment problem,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation The hungarian method for the assignment problem,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.726581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.726581Z digest=sha256:0975556f2a5c1c83bf97cab76c1e28fbaf5d5865981ab5663e24eb82ca7158c4

Observation cbc5ea85-5005-4e1d-9659-20e5f5052f3c · outbound

This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.124267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.730974Z digest=sha256:94734fe5d708351535e3ab8d7f49e2123dc424fefb334e26d180ca46a19c65d9

Observation a5e89fbc-efa0-4a98-b499-5e17a6b88b8e · outbound

This paper cites Natural questions: a benchmark for question answering research,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Natural questions: a benchmark for question answering research,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.108968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.735263Z digest=sha256:8bf9ed5e637c9187ff0035a69e0028eed2e8900c836522f867cab622d112093a

Observation f4a48f31-95b0-4cf0-99ef-05007f8e2d16 · outbound

This paper cites Semantic parsing on freebase from question-answer pairs,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Semantic parsing on freebase from question-answer pairs,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.094134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.739578Z digest=sha256:12384fef10d3a294b49b22022f4422616814e60f923378e1719cc30146790c8a

Observation 2e6dc707-02d2-497d-a3a2-5298dafb3e18 · outbound

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

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Training language models to follow instructions with human feedback,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.744085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.744085Z digest=sha256:606923d667efae4db8255ad304848188328c89dc60d28a73390894a866a82993

Observation ce7c0824-bcb3-4ed0-aae0-8267899efc2e · outbound

This paper cites Squad: 100,000+ questions for machine comprehension of text,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Squad: 100,000+ questions for machine comprehension of text,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.748480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.748480Z digest=sha256:6015577642c902305887ae31064a4fdf953171c2570608440f124977647b7e77

Observation ec62d6a8-2dd5-489f-a98b-788fdc3e1f86 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T04:31:54.752928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:31:54.752928Z digest=sha256:7114139da32060984c9ba0be0d322128b91f74426a7d1feb8c391cf796fa5625

Observation 2f6c8377-fb57-4825-b6d7-a15874acdf59 · outbound

This paper cites Multitask prompted training enables zero-shot task generalization,.

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation Multitask prompted training enables zero-shot task generalization,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:31:55.056900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T04:31:54.757351Z digest=sha256:100508eaedab04eabe2ce1c6d69ed7955d697a1001808561c43731bf2ad2b386

Pith citing papers

No inbound Pith citation observations are available.