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Paper Citation Record · LEDGER

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.19710.

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

pith.paper-citation-record.v1
2507.19710 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:12:30.936128Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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 exact9
  • verified fuzzy0
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5f301be-2204-4afe-8cdf-3b056e343aa0 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:12:33.922297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dadeb51f-22ad-4cbc-91f1-ef032e664bd9 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-06T14:12:33.677650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4d959341-037b-4c17-95ab-525812f51c24 · outbound

This paper cites Language Models are Few-Shot Learners.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Language Models are Few-Shot Learners

Reference 3

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no resolver link, observed 2026-08-06T14:12:28.914253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72b9b1ef-b515-4090-811d-94a25d111478 · outbound

This paper cites Logical Natural Language Generation from Open-Domain Tables.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Logical Natural Language Generation from Open-Domain Tables

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:12:32.654565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T14:12:28.996508Z digest=sha256:31f45885825ad61bace008d3d22612144c3a18fdfd778d4dafa0628bc0850967

Observation 9d3765b1-5df2-450d-8663-a61d3a1cf834 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-06T14:12:29.050308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:12:29.050308Z digest=sha256:f653732cb720915052281090ce239c0b95c5e0e492f9a34a2c95bc8dd423272e

Observation ece5311f-2eff-4c28-a50c-3efabda5227a · outbound

This paper cites Facts-and-Feelings: Capturing both Objectivity and Subjectivity in Table-to-Text Generation.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Facts-and-Feelings: Capturing both Objectivity and Subjectivity in Table-to-Text Generation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:12:32.486808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0690ac02-9da8-43bf-bc1c-90fca6fab256 · outbound

This paper cites Neural data-to-text generation: A comparison between pipeline and end-to-end architectures.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Neural data-to-text generation: A comparison between pipeline and end-to-end architectures

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:12:32.309248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dac88c6f-14ba-4b47-bb59-bff297c94b9a · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-06T14:12:29.292360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1ea4fefe-f513-401b-9c77-8b34b873c990 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 9

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unresolved
raw_fallback, observed 2026-08-06T14:12:33.543942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 79cc1587-5475-4820-b43b-00e479979c81 · outbound

This paper cites Evaluating and Improving Graph to Text Generation with Large Language Models.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Evaluating and Improving Graph to Text Generation with Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-06T14:12:29.435039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:12:29.435039Z digest=sha256:ffe739737e08cad1bd48869b6ca6b43b2b687d70fefbdf786dce503a565f686a

Observation d4455b02-96e5-4c6b-8e77-c50eef707bef · outbound

This paper cites TAPAS: Weakly Supervised Table Parsing via Pre-training.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 11

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unresolved
no resolver link, observed 2026-08-06T14:12:29.491694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81852f41-b53a-4028-8dfb-a82846a62646 · outbound

This paper cites Mistral 7B.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Mistral 7B

Reference 12

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no resolver link, observed 2026-08-06T14:12:29.574839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:12:29.574839Z digest=sha256:69aa3ded48dcfc1daf6d1f748d958f67f78c62e5798b86097240b5c772b86406

Observation 9917db50-c888-4acc-9b77-2211aadf4a93 · outbound

This paper cites From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:12:32.124306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 70bc8335-01b5-4796-a38a-b642b5c76771 · outbound

This paper cites Text-to-Text Pre-Training for Data-to-Text Tasks.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Text-to-Text Pre-Training for Data-to-Text Tasks

Reference 14

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unresolved
no resolver link, observed 2026-08-06T14:12:29.680788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 766ccc64-374c-4766-8a8f-25d8037926ac · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-06T14:12:33.340417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 500ef007-d4bc-4bae-ac05-f70cfedfda41 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 16

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c2a3eda4-caef-4196-9feb-772dc874b246 · outbound

This paper cites A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

Reference 17

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no resolver link, observed 2026-08-06T14:12:29.862077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7c6b057-dcab-457c-9595-471e340583a8 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 18

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41f4e4bb-69ee-47bd-bb87-9b22c82c4be8 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:12:33.143927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6e927397-1410-4bbb-b8c6-ea424487cac2 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-06T14:12:30.100446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f26b00c7-ea66-46ae-88f8-f82f0cda2c80 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:12:32.982605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 44917221-8c2f-42f0-8213-f70639510905 · outbound

This paper cites an unresolved cited work.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:12:32.863418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9d82261c-cbfd-4fd5-b468-142400e0ed43 · outbound

This paper cites Investigating Pretrained Language Models for Graph-to-Text Generation.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Investigating Pretrained Language Models for Graph-to-Text Generation

Reference 23

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verified exact
local_arxiv, observed 2026-08-06T14:12:31.871126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 11d64d8d-2307-43ac-abc3-aa3d3df0e26c · outbound

This paper cites Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:12:31.715632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T14:12:30.372394Z digest=sha256:3cacda9430972e2c2377a0c266c42a2f7f3c4bfb4ef99cd405012db69ed10ce9

Observation 5fb22032-3020-4055-a15c-5fd1b13f5df3 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

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unresolved
no resolver link, observed 2026-08-06T14:12:30.434790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21e6a4e1-ec9b-4d30-b5a6-187924a105d8 · outbound

This paper cites Stage-wise Fine-tuning for Graph-to-Text Generation.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Stage-wise Fine-tuning for Graph-to-Text Generation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:12:31.540710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 60a559b0-a1ff-47b3-8686-1fbdc8e0cfe1 · outbound

This paper cites Challenges in Data-to-Document Generation.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Challenges in Data-to-Document Generation

Reference 27

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unresolved
no resolver link, observed 2026-08-06T14:12:30.585747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 875da0b3-02bb-4d3d-97e0-b3d513bead44 · outbound

This paper cites TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T14:12:30.646348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 03dacd68-5c3f-41ef-a492-2282de1aeca9 · outbound

This paper cites Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T14:12:30.737716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:12:30.737716Z digest=sha256:e7f110c30f791e749309d13571b69dd0396eeb8244e81641034ca9898fd58b69

Observation c7271297-b5d0-4e30-a462-3da1f78ac0bb · outbound

This paper cites Evaluating Generative Models for Graph-to-Text Generation.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Evaluating Generative Models for Graph-to-Text Generation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:12:31.289680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a35fe25c-c342-4f21-a57b-c543daa8550a · outbound

This paper cites URL: " 'urlintro :=.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs URL: " 'urlintro :=

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 500a8d28-36ed-4688-9bfa-288c05b7d43d · outbound

This paper cites write newline.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs write newline

Reference 32

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no resolver link, observed 2026-08-06T14:12:30.936128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.