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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.158977Z digest=sha256:572ce0e932c4b1323e4404d520ea5cc3aa557c507d49a9577d92059db2d2fed1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.165258Z digest=sha256:25d562ec74f6abb9c084c85e22ed88967cf9447d9d02226b00a95700b0b07de6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.167942Z digest=sha256:47bb76d1f08b0deb3c84240bdb8c09c2cca3aa169fbff7ed5fb6de4ed3d739a6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.170820Z digest=sha256:0253a73f8c7a91c893a0cebbe1fcaeb203275409e3b9d0c8b083910c1193a33e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.176537Z digest=sha256:1321ef5f15a77b7570e8a8cfa286f4ca7b0f4c282d1e6af6042bfc1984ccadfd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.179795Z digest=sha256:9beeead13cf526e5b2cb3ae99e4ff67f439cf2f2709556b22f14ade43dd69c2d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.184679Z digest=sha256:7c04ef3e99321995861e86003be092ede284da7a7e2b00191f4b0e43222344a4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.194301Z digest=sha256:4d7fa0cc984ff3fc8dca4c866b7aedc1acaf2c8729ff51252759cd708cd58476

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.199737Z digest=sha256:939397ee18a8451aa80ce7e1c183ea4792f9860375d4ba9e1b5dae0a33f4397d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.203040Z digest=sha256:4c34e722ade5f9070a6f5665c0f7efd2db2be7da858c8240a22d7d6dfa122ac4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.205599Z digest=sha256:7691a15ce5d1ec9e6b3a25b9152a886413ba55aaa7998a2caae7cfc4c2a722cd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.197221Z digest=sha256:f1ce5df62ca54efffffc5b4d15e7524548c272363c0d8f1b46bd83f6012c65dc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.214925Z digest=sha256:a7cf80c875285fde2726a1d05ba98f415c2607dd4d9ad39e5040fd2bc23047b8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.217465Z digest=sha256:7f97b81a73ba2e08d9693140956bb8f15dc6ccc8da26ba94304bc84b0f8f0300

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.219942Z digest=sha256:3f0e2bad1bbcb1352c454b44ae58c8e0a4b87bdf27f9e5a82688bba82968e2ed

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.209924Z digest=sha256:e3d36efd8120ef6bee5051f3ffe03cc93ef97d87ebb3560acb8435a4d7203252

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.225076Z digest=sha256:da0ccebdeb082325eeb664b422feab403e87fe71ad82ee8a1ea341787baf4144

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.227834Z digest=sha256:e70d63541cfda8478dabed70f5d3044fb0c4d1718083f28b7dcf85cdc28f6bad

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.231225Z digest=sha256:9d413a84685282ca0b016e4cc3f451efaa64c7d610f181516f75082628e2cebe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.233746Z digest=sha256:f29b557d093c478b3dba5579f2eebd17bd0d74ea47d355f2395f243f2a7f86c0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.222331Z digest=sha256:8892eb30c7223480ed53d40ab312c817c98cb28ebaca5c6959d0131404db7de0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.240034Z digest=sha256:d427db5e84dbc9858303e41e5b85fe31d110fec1280b9238bf502c85148295b0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.242586Z digest=sha256:27aacd06d0eafc2ed13b7bbfcaba2e8fe4a91bd464d415b5863c85213c39afde

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.246393Z digest=sha256:170215b462e3ed6cee837d347dcc7ebba00ee53e2e340b69b842bfe332ea6622

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.249540Z digest=sha256:e6a1b4e300c663a21cedaf6ad0fc4ad72833a68bcb28cceceb4b388dbfaaa4d9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.236666Z digest=sha256:a0184b3adb6819f1edf93e89ee14fdfb83afc00387bbe2ae3d96075b9aed2d67

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.256062Z digest=sha256:e9521fff06cbe44472102a5ca58de85ae0ae6b29310ab861dbdd92e8ca94718b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.260024Z digest=sha256:33d6859202831191e4d62574a50c52342518b6e9d0497012b801ab4be5b3ba82

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.263187Z digest=sha256:bd459ad520d6ad8d4d2b97a7f61ca3cfabeb32ccc27eed6577e983b5bc267adb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.265743Z digest=sha256:17923e83999a10025c67b43e8f05a9b5914651d9c089ea1b216005372bad81d9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.252441Z digest=sha256:a760340d913c99724362e82bc84dc77acd6e2c3054e81be7f1ddad01c1b9de99

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.275765Z digest=sha256:1eac94fe4aff26989f8ef7e23a34ccba88a8e9f1a0d0a5f5f95b2df91fecd636

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.279196Z digest=sha256:d4c1dddb187df866120226c23315dd1e2dc25b630f26aa04c654a0d169db3da8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.282027Z digest=sha256:054df8a398d3377f8065b216344229e5d2a3899521810f17730fddb5dfcc04e2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.269233Z digest=sha256:cb06a911a6230d83091fa51ca12bf13bd66ffe560d036c8b06a3a461ccced999

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.290010Z digest=sha256:4695a462536dd679e80e8e1782755f967efb153cd1b04a2ee15afdf0d68284fd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.292721Z digest=sha256:cf9e698bf51b41eb68f2f087c4c52f55caa8e0e7e9464b6647b7104f9f5cfca9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.296166Z digest=sha256:4a8f7faddb3be8024fa9ae58e9a372c39d4e3162dea445d564961a3a3428dda8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.284807Z digest=sha256:d508bf0c5268bf37053c18183d20e70f6ef20532d2eddc8d7b7a7a855b12bcda

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:39.298966Z digest=sha256:dda7f385cbb556436fb4c1417145e205cdfb88487f8e0a32700542a62d0e6c5f

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