Paper Citation Record · LEDGER

Novel Benchmark for NER in the Wastewater and Stormwater Domain

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.01938.

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

pith.paper-citation-record.v1
2506.01938 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:34:36.245088Z

measured 26 of 26 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

26 of 26 outbound references displayed

verified exact1
verified fuzzy21
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9a43289-9734-444c-ae9a-27ff20b1dd21 · outbound

This paper cites BioCreative V CDR task corpus: a resource for chemical disease relation extraction.

Novel Benchmark for NER in the Wastewater and Stormwater Domain BioCreative V CDR task corpus: a resource for chemical disease relation extraction

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:41.507359Z

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.

Observation f4360106-563e-473d-89f6-a0681a1b6f23 · outbound

This paper cites Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:41.275468Z

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.

Observation 9d8cecf7-5b10-4a41-9fc1-af626e459630 · outbound

This paper cites BiodivNERE: Gold standard corpora for named entity recognition and relation extraction in the biodiversity domain.

Novel Benchmark for NER in the Wastewater and Stormwater Domain BiodivNERE: Gold standard corpora for named entity recognition and relation extraction in the biodiversity domain

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:41.095302Z

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.

Observation 94e865f9-e54d-4d04-a81f-3bcc4da3c655 · outbound

This paper cites BioBERT: a pre-trained biomedical language representation model for biomedical text mining.

Novel Benchmark for NER in the Wastewater and Stormwater Domain BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.958390Z

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.

Observation 9d05ffe7-3261-4062-8e41-f92b2417f4b4 · outbound

This paper cites BioBERT Based Named Entity Recog- nition in Electronic Medical Record.

Novel Benchmark for NER in the Wastewater and Stormwater Domain BioBERT Based Named Entity Recog- nition in Electronic Medical Record

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.815553Z

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.

Observation 70a370fc-7d72-496a-87d7-e3d359f35e95 · outbound

This paper cites From zero to hero: Harnessing transformers for biomedical named entity recognition in zero- and few-shot contexts.

Novel Benchmark for NER in the Wastewater and Stormwater Domain From zero to hero: Harnessing transformers for biomedical named entity recognition in zero- and few-shot contexts

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.644274Z

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.

Observation d809c2fc-9919-4ddf-99e4-a0cca07a8907 · outbound

This paper cites Watergpt: Training a large language model to become a hydrology expert.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Watergpt: Training a large language model to become a hydrology expert

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.453809Z

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.

Observation 2dbbe3b2-d819-4237-8441-44cfe2907750 · outbound

This paper cites MultiCoNER: A Large- scale Multilingual dataset for Complex Named Entity Recognition.

Novel Benchmark for NER in the Wastewater and Stormwater Domain MultiCoNER: A Large- scale Multilingual dataset for Complex Named Entity Recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.287262Z

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.

Observation aa5f840a-c1b8-4997-991e-17fa9890c487 · outbound

This paper cites Multilingual large language models: A systematic survey.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Multilingual large language models: A systematic survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.155302Z

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.

Observation 95dd324b-aa25-4d24-ad19-1367543d6e03 · outbound

This paper cites WEIR- P: An Information Extraction Pipeline for the Wastewater Domain.

Novel Benchmark for NER in the Wastewater and Stormwater Domain WEIR- P: An Information Extraction Pipeline for the Wastewater Domain

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:39.971030Z

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.

Observation 59d07d04-dd3c-43ee-ad00-7611ef91be6a · outbound

This paper cites Gold Standard du projet MeDo, 2020.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Gold Standard du projet MeDo, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:39.668483Z

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.

Observation ecfc6c29-cf58-499c-baa4-d404e7a8b791 · outbound

This paper cites an unresolved cited work.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:34:39.408199Z

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.

Observation 9e40f273-da6f-4391-b4d2-c6d27c4f0df8 · outbound

This paper cites An ontology based data access framework for sewer network data.

Novel Benchmark for NER in the Wastewater and Stormwater Domain An ontology based data access framework for sewer network data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:39.136571Z

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.

Observation daddb819-ddc4-4bad-b65e-c35851d73f84 · outbound

This paper cites Tjong Kim Sang and Sabine Buchholz.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Tjong Kim Sang and Sabine Buchholz

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:38.867030Z

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.

Observation 77732ee0-d9a9-4e0f-932c-04ee4dd29807 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:38.570152Z

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.

Observation b36d2f9a-bb8c-4255-be0b-e81dbe401b08 · outbound

This paper cites Camembert: a tasty french language model.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Camembert: a tasty french language model

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:38.290854Z

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.

Observation 451a22cf-fe07-4aac-a61e-e9f6fc9f3107 · outbound

This paper cites T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks.

Novel Benchmark for NER in the Wastewater and Stormwater Domain T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:34:36.551972Z

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.

Observation fef1dcdf-761b-41a1-b88e-024e7edf7709 · outbound

This paper cites Simalign: High quality word alignments without parallel training data using static and contextualized embeddings.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Simalign: High quality word alignments without parallel training data using static and contextualized embeddings

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:38.007987Z

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.

Observation 584fb298-0016-42b8-897b-7217abed8ecc · outbound

This paper cites Word Alignment by Fine-tuning Embeddings on Parallel Corpora.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Word Alignment by Fine-tuning Embeddings on Parallel Corpora

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:37.768238Z

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.

Observation 1f4429b1-61ef-437d-a938-d4390aff1d24 · outbound

This paper cites Enriching word vectors with subword information.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Enriching word vectors with subword information

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:37.494554Z

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.

Observation 1d14007b-e184-4f15-ae24-125d4249e822 · outbound

This paper cites Unsupervised cross-lingual representation learning at scale.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Unsupervised cross-lingual representation learning at scale

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:37.246368Z

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.

Observation c12a2e6b-e8d4-49cc-bda6-88b4029160a9 · outbound

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

Novel Benchmark for NER in the Wastewater and Stormwater Domain Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:34:35.726584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae59e097-8b8d-4c78-ac03-60bf6aea6776 · outbound

This paper cites The Llama 3 Herd of Models.

Novel Benchmark for NER in the Wastewater and Stormwater Domain The Llama 3 Herd of Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:34:35.886118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76de3d77-0df5-4a91-9085-7ef752d86f5b · outbound

This paper cites Phi-4 Technical Report.

Novel Benchmark for NER in the Wastewater and Stormwater Domain Phi-4 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:34:36.010054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d337ed-0716-4291-a539-fd988d514703 · outbound

This paper cites seqeval: A python framework for sequence labeling evaluation, 2018.

Novel Benchmark for NER in the Wastewater and Stormwater Domain seqeval: A python framework for sequence labeling evaluation, 2018

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:37.060280Z

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.

Observation 2f63d83e-b3b8-4047-ba39-67da0279e119 · outbound

This paper cites SemEval-2013 task 9 : Extraction of drug-drug interactions from biomedical texts.

Novel Benchmark for NER in the Wastewater and Stormwater Domain SemEval-2013 task 9 : Extraction of drug-drug interactions from biomedical texts

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:36.810158Z

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.

Pith citing papers

No inbound Pith citation observations are available.