Paper Citation Record · LEDGER

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.06133.

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

pith.paper-citation-record.v1
2506.06133 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:16.513274Z

measured 30 of 30 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 2026-05-20T11:45:40.574376Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:48:15.084943Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy19
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b29504f6-5c3f-4540-b22c-a19d01676f15 · outbound

This paper cites Presuppositions of compound sentences.Linguistic Inquiry, 4(2):169–193, 1973.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Presuppositions of compound sentences.Linguistic Inquiry, 4(2):169–193, 1973

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:22.052021Z

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.

Observation db043074-0fd5-4b05-9180-d3addf5388a3 · outbound

This paper cites Presuppositions.Journal of Philosophical Logic, 2(4):447–457, 1973.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Presuppositions.Journal of Philosophical Logic, 2(4):447–457, 1973

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:21.914439Z

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.

Observation 65dd72c4-ca48-4711-b086-7da8f96313db · outbound

This paper cites Are natural language inference models imppressive? learning implicature and presupposition.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Are natural language inference models imppressive? learning implicature and presupposition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:21.721778Z

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.

Observation b74ed7c1-e212-4936-8444-6559a3306576 · outbound

This paper cites Nope: A corpus of naturally-occurring presuppositions in english.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Nope: A corpus of naturally-occurring presuppositions in english

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:21.576006Z

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.

Observation 85247540-141a-4ea7-b58a-15333d0fe2a5 · outbound

This paper cites Presupposition.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Presupposition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:21.382471Z

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.

Observation 95dee6e7-a915-46ac-b5d9-be5072436048 · outbound

This paper cites Presupposition and implicature.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Presupposition and implicature

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:21.203316Z

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.

Observation b2f7e043-c042-4097-ac39-190fb491d4e4 · outbound

This paper cites Scorekeeping in a language game.Journal of Philosophical Logic, 8(1):339–359, 1979.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Scorekeeping in a language game.Journal of Philosophical Logic, 8(1):339–359, 1979

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:20.910602Z

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.

Observation 6a674235-d4c0-4b5e-bfb8-2d4a0e01fe5e · outbound

This paper cites Local satisfaction guaranteed: A presupposition theory and its problems.Linguistics and Philosophy, 19:259–294, 1996.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Local satisfaction guaranteed: A presupposition theory and its problems.Linguistics and Philosophy, 19:259–294, 1996

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:20.537096Z

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.

Observation 0761f0c7-b9a8-4064-9ef8-76206f6707e8 · outbound

This paper cites an unresolved cited work.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:04:20.204579Z

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.

Observation fd191e0e-4738-4e1f-bc40-bca72bd5f4ed · outbound

This paper cites Bowman, Gabor Angeli, Christopher Potts, and Christopher D.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Bowman, Gabor Angeli, Christopher Potts, and Christopher D

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:14.360636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04720032-ee54-4f8f-a50d-d4649e8f1475 · outbound

This paper cites A broad-coverage challenge corpus for sentence un- derstanding through inference.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition A broad-coverage challenge corpus for sentence un- derstanding through inference

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:19.933794Z

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.

Observation f1fbf147-a2e8-44fc-9d52-1011ed33c4e6 · outbound

This paper cites an unresolved cited work.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:04:19.629581Z

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.

Observation 3d56cbde-435e-4522-9703-45fa0e37db6b · outbound

This paper cites Swag: A large-scale adversarial dataset for grounded commonsense inference.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Swag: A large-scale adversarial dataset for grounded commonsense inference

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:19.259350Z

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.

Observation 917be66e-cd15-4ca1-9ac1-5d8f09c5ca20 · outbound

This paper cites Abductive commonsense reasoning.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Abductive commonsense reasoning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:18.878920Z

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.

Observation 47bf33eb-7481-4221-950c-537ee7eb9382 · outbound

This paper cites The role of veridicality and factivity in clause selection.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition The role of veridicality and factivity in clause selection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:18.530713Z

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.

Observation 3eb47d61-cfc9-447e-998d-3d5b5b36809a · outbound

This paper cites The commitmentbank: Investigating projection in naturally occurring discourse.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition The commitmentbank: Investigating projection in naturally occurring discourse

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:18.285566Z

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.

Observation 50f5ddca-2248-44c5-a2cb-ac01c1efadad · outbound

This paper cites Investigating the distribution of some (but not all) implicatures using corpora and web-based methods.Semantics and Pragmatics, 8:11–1, 2015.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Investigating the distribution of some (but not all) implicatures using corpora and web-based methods.Semantics and Pragmatics, 8:11–1, 2015

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:18.088721Z

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.

Observation d3216166-9046-4f14-a122-122e84a7dab8 · outbound

This paper cites Harnessing the richness of the linguistic signal in predicting pragmatic inferences.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Harnessing the richness of the linguistic signal in predicting pragmatic inferences

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:17.961000Z

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.

Observation e43956f0-1d79-45bd-bbda-a3f2cfd7b7e6 · outbound

This paper cites Let’s do it “again”: A first computational approach to detecting adverbial presupposition triggers.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Let’s do it “again”: A first computational approach to detecting adverbial presupposition triggers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:17.793935Z

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.

Observation 14e69fed-a130-4890-9f8c-e98ac6f00fa3 · outbound

This paper cites Do you know that florence is packed with visitors? evaluating state-of-the-art models of speaker commitment.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Do you know that florence is packed with visitors? evaluating state-of-the-art models of speaker commitment

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:17.527583Z

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.

Observation 26350d5f-f716-474b-9982-5e2a7f5bb2a2 · outbound

This paper cites an unresolved cited work.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:04:17.400928Z

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.

Observation b2aa757e-d447-4f21-9dc0-0fc902661952 · outbound

This paper cites an unresolved cited work.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:04:17.242562Z

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.

Observation e5978133-7325-4de1-8768-814ed7f80afa · outbound

This paper cites an unresolved cited work.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:04:16.968348Z

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.

Observation 4b40d2bc-ec7c-4aca-b935-703dc3a8c9e3 · outbound

This paper cites an unresolved cited work.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:16.171389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 749d42c1-a5bc-4ff7-954c-4881abaf7869 · outbound

This paper cites Supervised learning of universal sentence representations from natural language inference data.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Supervised learning of universal sentence representations from natural language inference data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:16.806951Z

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.

Observation 6827ca65-7622-42f6-b412-b5b8043d817a · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach.arXiv preprint,.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Roberta: A robustly optimized bert pretraining approach.arXiv preprint,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:16.648639Z

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.

Observation a1b03980-ada4-4cc0-9bfa-58238b8c5e8a · outbound

This paper cites Deberta: Decoding-enhanced bert with disentan- gled attention.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Deberta: Decoding-enhanced bert with disentan- gled attention

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:16.429105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e498d238-ff61-4576-ac66-af4f92f3d3c7 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:16.513274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a16326-b875-45f0-9019-74c1d5750e4e · outbound

This paper cites an unresolved cited work.

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition Unresolved cited work

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:15.584165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation de60022b-b911-4644-ae96-2e0b94ce4de4 · inbound

Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs cites this paper.

Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:48:15.086382Z

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.