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Paper Citation Record · LEDGER

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens

As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2508.08942.

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

pith.paper-citation-record.v1
2508.08942 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:39:39.298966Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T20:22:24.785055Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy40
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 690b7422-9077-4c2a-a1dd-ba5d94af9079 · outbound

This paper cites QAMPARI: A benchmark for open-domain questions with many answers.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens QAMPARI: A benchmark for open-domain questions with many answers

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.704907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a6b0362d-05c7-4df8-be7f-52f7421b58cb · outbound

This paper cites Reducing hallucination in structured out- puts via retrieval-augmented generation.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Reducing hallucination in structured out- puts via retrieval-augmented generation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.692797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.158977Z digest=sha256:0716bcfdf2b09e0e31ede7420e17b563e1b31512a1d98085ab2eeae1360b401d

Observation b2c1643f-93c4-451a-ae3a-7cfe705944ce · outbound

This paper cites Contextcite: Attributing model generation to context.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Contextcite: Attributing model generation to context

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.684582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.165258Z digest=sha256:c5a3a281efbb84f8f4524ad8aece8205410f4baa6b9bc3d803a7a6b08bcd0f19

Observation bf05301a-12d5-4753-b993-1962286ba077 · outbound

This paper cites Bias and unfairness in information retrieval systems: New challenges in the llm era.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Bias and unfairness in information retrieval systems: New challenges in the llm era

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.677524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.167942Z digest=sha256:92a21d31bac690247666d4af892f10ce15bbaff6d9b04cb4361f21a673bc87b8

Observation b9b45984-980f-4e9f-81a8-62521a88eed6 · outbound

This paper cites ChatGPT is Good but Bing Chat is Better for Vietnamese Students.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens ChatGPT is Good but Bing Chat is Better for Vietnamese Students

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-15T17:39:39.357067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.170820Z digest=sha256:5be3aad3d75b8d5b345157ec570531cd4a9a9bb0eafd3383dcda9b754b800383

Observation 3acc4bf7-61ac-4b49-8f39-787da2b980f1 · outbound

This paper cites Attention with Dependency Parsing Augmentation for Fine-Grained Attribution.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Attention with Dependency Parsing Augmentation for Fine-Grained Attribution

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:39.173751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:39.173751Z digest=sha256:3f0254594c7c3655d5ba5345fddd9bf25e028db650236e3fa2d4db1e886261d7

Observation 9b521899-7d86-469f-8848-53ec7e9355dc · outbound

This paper cites An evaluation framework for attributed information retrieval using large language models.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens An evaluation framework for attributed information retrieval using large language models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.669263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.176537Z digest=sha256:e944c5c2a534feceb8c140eac2f84797dbce0f8da7fbd69d72eea13e111d9052

Observation 921c0cac-3c71-443f-98e0-fd460c207825 · outbound

This paper cites ELI5: Long form question answering.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens ELI5: Long form question answering

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.660424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.179795Z digest=sha256:cc4a43a849effca82f7a30ca853c67694be8b506384875a947fbc1b4fe942b62

Observation 80fe28b5-20f5-43fa-bfad-0cac9fe64658 · outbound

This paper cites RARR: Researching and revising what language models say, using language models.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens RARR: Researching and revising what language models say, using language models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.651553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.184679Z digest=sha256:d571887f64c5376e8e94718763d96749734a68d40c9eab4fe76649859aff28fb

Observation 5ea10bd1-709d-41a9-a046-ba20460fdcc0 · outbound

This paper cites Enabling large language models to generate text with citations.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Enabling large language models to generate text with citations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:39.189307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:39.189307Z digest=sha256:affcc0b6ecde38a2fcc7808b073b762915df829294f2edb55e5bab51bf564f66

Observation df43b412-dd2f-4a47-8502-ebaf4eb19beb · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Distilling the Knowledge in a Neural Network

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:39.191634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:39.191634Z digest=sha256:4e1efbed6611eb12d7615a8e26d813f2ac311d2a810270007a6bdd0cf44b6380

Observation 0687608c-6dcf-4b2e-9efa-f29ba3495126 · outbound

This paper cites Learning fine-grained grounded citations for attributed large language models.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Learning fine-grained grounded citations for attributed large language models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.636910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.194301Z digest=sha256:d3a9e66a65e46925cf811d05f20c8bcb1ba7ae5017248f00de632ab2b14418b8

Observation 5c78febb-32ba-4e65-a201-2b639d06fc6a · outbound

This paper cites Atlas: few-shot learning with retrieval augmented language models.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Atlas: few-shot learning with retrieval augmented language models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.621724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.199737Z digest=sha256:f48c5813bf331c6020a6d3dc50b35aa577e06d7320392c8ad6f9fc818c922bbe

Observation 21709f9c-656f-47d2-a93f-5340764b7025 · outbound

This paper cites A peek into token bias: Large language models are not yet genuine reasoners.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens A peek into token bias: Large language models are not yet genuine reasoners

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.613149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.203040Z digest=sha256:a429ffa3cfa37139a4da3e3dffc57d0e53ad1e757552788e2d769ab44562f433

Observation 35897593-59da-4b98-8d0d-7f57cad8b703 · outbound

This paper cites TinyBERT: Distilling BERT for natural language understanding.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens TinyBERT: Distilling BERT for natural language understanding

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.605432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.205599Z digest=sha256:12ce9a77bd07512e9c4a07a4c4fd446973f0ce56b2ff01419be47bfa3ca74ca0

Observation 46501320-58ee-4a17-a359-886b50838a23 · outbound

This paper cites Advancing large language model attribution through self-improving.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Advancing large language model attribution through self-improving

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.630095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.197221Z digest=sha256:9d4edccea0cd0518248053a49cdba6cb0627aa110d19e81f6e764002a1fd34db

Observation e7cf313a-149d-4849-abc5-5d3e5e1078a5 · outbound

This paper cites HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:39.212215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:39.212215Z digest=sha256:ef38c0e23fee5e11fadbde8c61f857d45576ede7a5ddef50dcd2d6bda30e112a

Observation e40d169a-5d0e-4e6e-ad38-a2b480678042 · outbound

This paper cites Comparing kullback-leibler divergence and mean squared error loss in knowl- edge distillation.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Comparing kullback-leibler divergence and mean squared error loss in knowl- edge distillation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.589783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.214925Z digest=sha256:b80a155312b88c76ebc7d1e4a1805fb9c83d6a7abcf6238295c1b9e69e1340f7

Observation d8a79034-1a32-4054-ae25-511f2db92f07 · outbound

This paper cites Hurdles to progress in long-form question answering.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Hurdles to progress in long-form question answering

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.582280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.217465Z digest=sha256:3c5d67b40e8d59de7fec295be529bd79f90357e2fc385c1df1ef7bc37293d59c

Observation cc3d86b7-dcea-4f87-ac2e-471e66b0c7a8 · outbound

This paper cites Mitigating hallucinations in large language models: A compar- ative study of rag-enhanced vs.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Mitigating hallucinations in large language models: A compar- ative study of rag-enhanced vs

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.575640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.219942Z digest=sha256:ae6c1b4612376946d108c68e9cc46120c1409f98f4e719ee6997a5d4cd613e4f

Observation 775c0f13-c83f-4d7c-95d2-516c8e463705 · outbound

This paper cites A convolutional neural network for modelling sentences.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens A convolutional neural network for modelling sentences

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.597531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.209924Z digest=sha256:d7fdba3bf91b0f12b121f02e2cdd7a528c520438f29fb8f9e7a4622bcd8c1bdb

Observation 8f6718cf-725e-4f8a-bcb7-e7f620257bf0 · outbound

This paper cites Evaluating verifiability in generative search engines.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Evaluating verifiability in generative search engines

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.559869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.225076Z digest=sha256:235fefc92fa23ff6e8015b0ddcb6b9c9d0a5b53a4465b3978903fcc595c910a0

Observation e4c16245-bfe3-4840-886f-4e6a74581427 · outbound

This paper cites Hallucination-free? assessing the reliability of leading ai legal research tools.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Hallucination-free? assessing the reliability of leading ai legal research tools

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.551366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.227834Z digest=sha256:eecdcf175a19b629550e9bcbaa8bfc50fcba2c9c5240dcd64f5affebed3c15fa

Observation e57b7ce0-a7b4-425a-8032-b6bb6f8e73cb · outbound

This paper cites ExpertQA: Expert-curated questions and attributed answers.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens ExpertQA: Expert-curated questions and attributed answers

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.543377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.231225Z digest=sha256:743a80e6e3a67fd7b581d5ab80c470693894f7030793f1d09195df5e30195e5e

Observation 1f9aee1a-aa17-4261-8760-7938fe9821f9 · outbound

This paper cites Teaching language models to support answers with verified quotes, 2022.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Teaching language models to support answers with verified quotes, 2022

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.536007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.233746Z digest=sha256:150c3b91dcd358b0ea1185741a45fca322df3a8d2238f37f1ebc11de7e4a3e10

Observation 57d7d70d-4cf8-4e4f-bd2c-aa62b0f3fc17 · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens ROUGE: A package for automatic evaluation of summaries

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.568337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.222331Z digest=sha256:e8e6fdb72fb0e2083eab4957b037aba225dfb9f37ed4b294b460b8dfae978eec

Observation a4fd6b54-a194-49a5-bf48-1697d7b0e312 · outbound

This paper cites Peering into the mind of language models: An ap- proach for attribution in contextual question answering.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Peering into the mind of language models: An ap- proach for attribution in contextual question answering

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.520317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.240034Z digest=sha256:7bbae36018e7adc016b57f124a8971027c25b5fb93cb73725c2ad753c39cc8b4

Observation cb92ebc8-87ad-44c6-865f-740a44e3fc18 · outbound

This paper cites Model internals- based answer attribution for trustworthy retrieval-augmented generation.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Model internals- based answer attribution for trustworthy retrieval-augmented generation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.512619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.242586Z digest=sha256:cf63feffac22d4320e2d7ef4546d2ccfcd8c2ad28342385c40c8f46adadcf437

Observation fcb63ec6-387e-482a-9e58-b32550ebdc26 · outbound

This paper cites In-context retrieval-augmented language models.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens In-context retrieval-augmented language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.505035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.246393Z digest=sha256:8092b38344e42e10452eb00b6ac6cfe09d5e8d19aa694a9c087480f81c45f158

Observation 707941f0-fd57-4519-8fca-a6cd78bc0a60 · outbound

This paper cites Sentence-BERT: Sentence embeddings using Siamese BERT-networks.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Sentence-BERT: Sentence embeddings using Siamese BERT-networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.496684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.249540Z digest=sha256:5a0c95466833573526120185853376bede250b0b86758416c9e8e5247e53b99b

Observation 71440647-aee4-4be8-bb47-4e0053f66e14 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Bleu: a method for automatic evaluation of machine translation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.528668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.236666Z digest=sha256:67374905ce0ce0fcb0b056c30a5616f66d22cd09726d1f6da6190e3dc066ad2f

Observation 47efed9a-fa42-4fbc-8dff-4071fd2640bd · outbound

This paper cites Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.477513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.256062Z digest=sha256:ea856adbef862aaf935c6b3c390229e43d9d202cb1eb7f23346289a011801ff3

Observation 57f9dc4f-87a2-46bc-a408-0fe69bf9af5b · outbound

This paper cites Retrieval augmentation reduces hallucination in conversation.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Retrieval augmentation reduces hallucination in conversation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.469465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.260024Z digest=sha256:25b5fde1c8d63bae1a672ad9c978b74be856d0390b2fd0db48a47ccc6ccc592c

Observation 7c63b5d4-1e92-41d1-870b-0393aee15f08 · outbound

This paper cites Attribute first, then generate: Locally-attributable grounded text generation.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Attribute first, then generate: Locally-attributable grounded text generation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.461705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.263187Z digest=sha256:dad5c1a4b59d9f035b74afe035d869b57fefb05334760b892eccd36eee4e57cf

Observation d8f35d6b-67ca-44af-93c4-4f1d38bca628 · outbound

This paper cites Measuring and enhancing trustworthiness of llms in rag through grounded attributions and learning to refuse.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Measuring and enhancing trustworthiness of llms in rag through grounded attributions and learning to refuse

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.453374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.265743Z digest=sha256:e8f5bd17c3061913c062976b58cc36e9600b6d49047f8a772f15b9758c49441e

Observation cd784c0f-dad8-4e41-ab47-077c29bd19da · outbound

This paper cites Post-hoc answer attribution for grounded and trustworthy long document comprehension: Task, insights, and challenges.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Post-hoc answer attribution for grounded and trustworthy long document comprehension: Task, insights, and challenges

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.487696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.252441Z digest=sha256:5967cf9fa8df75da380352b6af04f907f0db3149f734626ce28bd9300caa0fca

Observation 585dd789-c780-485b-b66a-0ad0fc0979a6 · outbound

This paper cites Correctness is not Faithfulness in RAG Attributions.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Correctness is not Faithfulness in RAG Attributions

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:39.272190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:39.272190Z digest=sha256:0db364037b0e4a2d1207af4b0f62cf1f4208011e33d90c4ef022fbc37599e67e

Observation 2dc6a001-1232-4c1a-81f1-cf0f11cec2c6 · outbound

This paper cites Un- veiling selection biases: Exploring order and token sensitivity in large language models.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Un- veiling selection biases: Exploring order and token sensitivity in large language models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.435481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.275765Z digest=sha256:3347ecf0dd8af741c53d71588588fccf8758408972dd538cdfb99933d6e8a62d

Observation bbf1e5ce-90c1-4569-89b8-5e993901a99a · outbound

This paper cites Ground every sentence: Improving retrieval-augmented LLMs with interleaved reference-claim generation.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Ground every sentence: Improving retrieval-augmented LLMs with interleaved reference-claim generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.426185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.279196Z digest=sha256:6939dd5b8044cd75050c1e903b5f4b8311484887ea61d3469f9870767e08a872

Observation 699bd1ab-433b-4112-83ca-b07b6c0933c3 · outbound

This paper cites Search-in-the-chain: Interactively enhancing large language models with search for knowledge-intensive tasks.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Search-in-the-chain: Interactively enhancing large language models with search for knowledge-intensive tasks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.417974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.282027Z digest=sha256:30464e7070d8233f416f95197972171930ba451a4c71bee418c871146d04ca89

Observation 002e9254-7b8d-4b3c-aa9b-c92929ff8cb2 · outbound

This paper cites ASQA: Factoid questions meet long-form answers.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens ASQA: Factoid questions meet long-form answers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.443804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.269233Z digest=sha256:bcb11f1fbb6370f7563dcffef9eaf03e4a8e3b04dcfa639685971741494fb5e3

Observation 7f86d4f2-a2c5-4d53-a238-b0ad682907cb · outbound

This paper cites Weinberger, and Yoav Artzi.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Weinberger, and Yoav Artzi

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:39.287131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:39.287131Z digest=sha256:ee9390e8390ac328f043da5c38564d11607dd048ad422c9bab4e1ab4a0c4ccf0

Observation 6e1fcef5-17f8-4b4d-9aa8-61145c7750f4 · outbound

This paper cites Miracl: A multilingual retrieval dataset covering 18 diverse languages.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Miracl: A multilingual retrieval dataset covering 18 diverse languages

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.394798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.290010Z digest=sha256:7e2eab3826a5f7160235837c1fee5f84820bf3d538d6573b7d80fdad03764074

Observation fae6bc09-1224-458a-8a36-45fb5b087f91 · outbound

This paper cites Large language models are not robust multiple choice selectors.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Large language models are not robust multiple choice selectors

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.385768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.292721Z digest=sha256:1fae168a5fda4b09fac5fc5d9acb230669742e35dd2436c7812545a803fb0da8

Observation 1660748a-6479-4c02-9e4c-fd3bc2811cd6 · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Xing, Hao Zhang, Joseph E

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.376168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.296166Z digest=sha256:65294c713fd6f3f0ac086a0399777d2ded01320606759517aea4ec1cb560be51

Observation dcccc8b2-724b-4b19-ace7-0e2b3b3562d6 · outbound

This paper cites Automatic evaluation of attribution by large language models.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Automatic evaluation of attribution by large language models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.409480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.284807Z digest=sha256:2a55ddae9e39d98df3fcd8869b5b5bb2f24847a0ed0fcd63062f8a38c1a68ea4

Observation b118c5a8-8786-43ea-b24a-1d962c72016b · outbound

This paper cites A setwise approach for effective and highly efficient zero-shot ranking with large language models.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens A setwise approach for effective and highly efficient zero-shot ranking with large language models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:39.368278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:39:39.298966Z digest=sha256:7cb9e1895248bd93d879114de479858c337e189273b03dc509cc3c236d3eacdc

Observation 0aed67b5-8f41-4512-90a6-d9b3d3f589f5 · outbound

This paper cites an unresolved cited work.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Unresolved cited work

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:39.207729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:39.207729Z digest=sha256:bc684857ff0ce4ec33d24f6b9b1532f96c940fb8f946e8be00b2340f01472be8

Pith citing papers

Observation 522ddd05-0a05-46c8-abc8-f46315fc5dae · inbound

CAGE: Cognitive Attribution Graphs for Faithful Inline Citation Generation in Long-Form Question Answering cites this paper.

CAGE: Cognitive Attribution Graphs for Faithful Inline Citation Generation in Long-Form Question Answering Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-31T20:22:24.785055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T20:22:24.785055Z digest=sha256:d1c9f299e488bc3d359faeea539462fda4db7fc56256d2cc427b8f039c8c8125